diff --git a/Untitled0.ipynb b/Untitled0.ipynb
index 4e5c5bba99f5d02246be8ae5d78c78ed72cf1353..36e535aefc74f8b1d3f4bf2487a7602aa87e4340 100644
--- a/Untitled0.ipynb
+++ b/Untitled0.ipynb
@@ -25,6 +25,15 @@
       "execution_count": 1,
       "outputs": []
     },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "# Unzip the dataset file you should change this to your file name but first U need to upload the dataset to the drive"
+      ],
+      "metadata": {
+        "id": "urDITXDp9o-z"
+      }
+    },
     {
       "cell_type": "code",
       "source": [
@@ -2095,6 +2104,15 @@
         }
       ]
     },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "# Load the data and create a Json file to be used in training "
+      ],
+      "metadata": {
+        "id": "TQs7KypB8n4z"
+      }
+    },
     {
       "cell_type": "code",
       "execution_count": 11,
@@ -7229,9 +7247,9 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "vlb2BpDgBaTY",
-        "outputId": "7643f328-52ae-4991-a7f9-56029efb94de"
+        "outputId": "64b405af-9f76-4045-8ae9-a48ac34fd332"
       },
-      "execution_count": 86,
+      "execution_count": 113,
       "outputs": [
         {
           "output_type": "stream",
@@ -7265,7 +7283,7 @@
       "metadata": {
         "id": "xCDKGt_9Boro"
       },
-      "execution_count": 90,
+      "execution_count": 114,
       "outputs": []
     },
     {
@@ -7491,6 +7509,15 @@
         }
       ]
     },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "# Evaluate The Model "
+      ],
+      "metadata": {
+        "id": "GV--ebeb8WJO"
+      }
+    },
     {
       "cell_type": "code",
       "source": [
@@ -7550,6 +7577,15 @@
         }
       ]
     },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "# Save the model"
+      ],
+      "metadata": {
+        "id": "qsUs9-He8PhS"
+      }
+    },
     {
       "cell_type": "code",
       "source": [
@@ -7567,7 +7603,7 @@
         "     \n",
         "\n",
         "# It can be used to reconstruct the model identically.\n",
-        "reconstructed_model = keras.models.load_model(\"Music_Genre_10_CNN.h5\")"
+        "reconstructed_model = keras.models.load_model(\"Music_Genre_10_CNN.h5\")\n"
       ],
       "metadata": {
         "colab": {
@@ -7587,6 +7623,491 @@
         }
       ]
     },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "#Building a Convolutional Neural Network with different learning rate and number of Epochs "
+      ],
+      "metadata": {
+        "id": "wIQemiCC8Eph"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "input_shape = (X_train.shape[1], X_train.shape[2], 1)\n",
+        "     \n",
+        "\n",
+        "# build the CNN\n",
+        "model_cnn = keras.Sequential()\n",
+        "\n",
+        "# 1st conv layer\n",
+        "model_cnn.add(keras.layers.Conv2D(32, (3, 3), activation='relu', input_shape=input_shape))\n",
+        "model_cnn.add(keras.layers.MaxPooling2D((3, 3), strides=(2, 2), padding='same'))\n",
+        "model_cnn.add(keras.layers.BatchNormalization())\n",
+        "\n",
+        "# 2nd conv layer\n",
+        "model_cnn.add(keras.layers.Conv2D(32, (3, 3), activation='relu'))\n",
+        "model_cnn.add(keras.layers.MaxPooling2D((3, 3), strides=(2, 2), padding='same'))\n",
+        "model_cnn.add(keras.layers.BatchNormalization())\n",
+        "\n",
+        "# 3rd conv layer\n",
+        "model_cnn.add(keras.layers.Conv2D(32, (2, 2), activation='relu'))\n",
+        "model_cnn.add(keras.layers.MaxPooling2D((2, 2), strides=(2, 2), padding='same'))\n",
+        "model_cnn.add(keras.layers.BatchNormalization())\n",
+        "\n",
+        "# flatten output and feed it into dense layer\n",
+        "model_cnn.add(keras.layers.Flatten())\n",
+        "model_cnn.add(keras.layers.Dense(64, activation='relu'))\n",
+        "model_cnn.add(keras.layers.Dropout(0.3))\n",
+        "\n",
+        "# output layer\n",
+        "model_cnn.add(keras.layers.Dense(num_classes, activation='softmax'))\n",
+        "\n",
+        "# compile model\n",
+        "optimiser = keras.optimizers.Adam(learning_rate=0.0005)\n",
+        "model_cnn.compile(optimizer=optimiser,\n",
+        "                  loss='categorical_crossentropy',\n",
+        "                  metrics=['accuracy'])\n",
+        "\n",
+        "model_cnn.summary()\n",
+        "\n",
+        "\n",
+        "     "
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "1jsf-Fs9K1LG",
+        "outputId": "a806a07b-a185-4548-cb1f-8db780404ae5"
+      },
+      "execution_count": 115,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Model: \"sequential_8\"\n",
+            "_________________________________________________________________\n",
+            " Layer (type)                Output Shape              Param #   \n",
+            "=================================================================\n",
+            " conv2d_18 (Conv2D)          (None, 128, 11, 32)       320       \n",
+            "                                                                 \n",
+            " max_pooling2d_18 (MaxPoolin  (None, 64, 6, 32)        0         \n",
+            " g2D)                                                            \n",
+            "                                                                 \n",
+            " batch_normalization_18 (Bat  (None, 64, 6, 32)        128       \n",
+            " chNormalization)                                                \n",
+            "                                                                 \n",
+            " conv2d_19 (Conv2D)          (None, 62, 4, 32)         9248      \n",
+            "                                                                 \n",
+            " max_pooling2d_19 (MaxPoolin  (None, 31, 2, 32)        0         \n",
+            " g2D)                                                            \n",
+            "                                                                 \n",
+            " batch_normalization_19 (Bat  (None, 31, 2, 32)        128       \n",
+            " chNormalization)                                                \n",
+            "                                                                 \n",
+            " conv2d_20 (Conv2D)          (None, 30, 1, 32)         4128      \n",
+            "                                                                 \n",
+            " max_pooling2d_20 (MaxPoolin  (None, 15, 1, 32)        0         \n",
+            " g2D)                                                            \n",
+            "                                                                 \n",
+            " batch_normalization_20 (Bat  (None, 15, 1, 32)        128       \n",
+            " chNormalization)                                                \n",
+            "                                                                 \n",
+            " flatten_7 (Flatten)         (None, 480)               0         \n",
+            "                                                                 \n",
+            " dense_17 (Dense)            (None, 64)                30784     \n",
+            "                                                                 \n",
+            " dropout_6 (Dropout)         (None, 64)                0         \n",
+            "                                                                 \n",
+            " dense_18 (Dense)            (None, 11)                715       \n",
+            "                                                                 \n",
+            "=================================================================\n",
+            "Total params: 45,579\n",
+            "Trainable params: 45,387\n",
+            "Non-trainable params: 192\n",
+            "_________________________________________________________________\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "# Model Train"
+      ],
+      "metadata": {
+        "id": "FWnDWVRf7bKL"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "history2 = model_cnn.fit(X_train, y_train_categorical, validation_data=(X_validation, y_validation_categorical), batch_size=32, epochs=100)"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "x_rpE6k2LJja",
+        "outputId": "7a758296-6a38-40e3-f58d-304b5cabf226"
+      },
+      "execution_count": 116,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Epoch 1/100\n",
+            "188/188 [==============================] - 17s 82ms/step - loss: 1.8780 - accuracy: 0.3779 - val_loss: 1.5085 - val_accuracy: 0.4686\n",
+            "Epoch 2/100\n",
+            "188/188 [==============================] - 16s 84ms/step - loss: 1.3851 - accuracy: 0.5179 - val_loss: 1.1811 - val_accuracy: 0.5708\n",
+            "Epoch 3/100\n",
+            "188/188 [==============================] - 15s 80ms/step - loss: 1.2060 - accuracy: 0.5722 - val_loss: 1.1100 - val_accuracy: 0.5968\n",
+            "Epoch 4/100\n",
+            "188/188 [==============================] - 15s 79ms/step - loss: 1.0888 - accuracy: 0.6218 - val_loss: 0.9835 - val_accuracy: 0.6389\n",
+            "Epoch 5/100\n",
+            "188/188 [==============================] - 15s 80ms/step - loss: 1.0115 - accuracy: 0.6461 - val_loss: 0.9364 - val_accuracy: 0.6742\n",
+            "Epoch 6/100\n",
+            "188/188 [==============================] - 15s 80ms/step - loss: 0.9201 - accuracy: 0.6745 - val_loss: 0.8425 - val_accuracy: 0.6976\n",
+            "Epoch 7/100\n",
+            "188/188 [==============================] - 15s 80ms/step - loss: 0.8679 - accuracy: 0.6934 - val_loss: 0.8610 - val_accuracy: 0.6976\n",
+            "Epoch 8/100\n",
+            "188/188 [==============================] - 15s 80ms/step - loss: 0.8244 - accuracy: 0.7191 - val_loss: 0.8742 - val_accuracy: 0.6916\n",
+            "Epoch 9/100\n",
+            "188/188 [==============================] - 15s 80ms/step - loss: 0.7629 - accuracy: 0.7268 - val_loss: 0.9203 - val_accuracy: 0.6762\n",
+            "Epoch 10/100\n",
+            "188/188 [==============================] - 17s 88ms/step - loss: 0.7185 - accuracy: 0.7485 - val_loss: 0.8339 - val_accuracy: 0.7150\n",
+            "Epoch 11/100\n",
+            "188/188 [==============================] - 15s 80ms/step - loss: 0.6827 - accuracy: 0.7655 - val_loss: 0.7911 - val_accuracy: 0.7397\n",
+            "Epoch 12/100\n",
+            "188/188 [==============================] - 15s 80ms/step - loss: 0.6569 - accuracy: 0.7735 - val_loss: 0.7795 - val_accuracy: 0.7236\n",
+            "Epoch 13/100\n",
+            "188/188 [==============================] - 14s 76ms/step - loss: 0.6244 - accuracy: 0.7832 - val_loss: 0.7967 - val_accuracy: 0.7236\n",
+            "Epoch 14/100\n",
+            "188/188 [==============================] - 15s 80ms/step - loss: 0.6007 - accuracy: 0.7912 - val_loss: 0.7413 - val_accuracy: 0.7430\n",
+            "Epoch 15/100\n",
+            "188/188 [==============================] - 15s 80ms/step - loss: 0.5618 - accuracy: 0.8002 - val_loss: 0.7428 - val_accuracy: 0.7423\n",
+            "Epoch 16/100\n",
+            "188/188 [==============================] - 15s 80ms/step - loss: 0.5229 - accuracy: 0.8172 - val_loss: 0.7256 - val_accuracy: 0.7423\n",
+            "Epoch 17/100\n",
+            "188/188 [==============================] - 15s 79ms/step - loss: 0.5087 - accuracy: 0.8161 - val_loss: 0.7838 - val_accuracy: 0.7370\n",
+            "Epoch 18/100\n",
+            "188/188 [==============================] - 15s 78ms/step - loss: 0.4724 - accuracy: 0.8322 - val_loss: 0.9059 - val_accuracy: 0.7009\n",
+            "Epoch 19/100\n",
+            "188/188 [==============================] - 15s 77ms/step - loss: 0.4640 - accuracy: 0.8384 - val_loss: 0.9025 - val_accuracy: 0.7023\n",
+            "Epoch 20/100\n",
+            "188/188 [==============================] - 15s 77ms/step - loss: 0.4237 - accuracy: 0.8554 - val_loss: 0.7157 - val_accuracy: 0.7650\n",
+            "Epoch 21/100\n",
+            "188/188 [==============================] - 15s 77ms/step - loss: 0.3995 - accuracy: 0.8585 - val_loss: 0.8391 - val_accuracy: 0.7210\n",
+            "Epoch 22/100\n",
+            "188/188 [==============================] - 15s 78ms/step - loss: 0.4087 - accuracy: 0.8565 - val_loss: 0.7053 - val_accuracy: 0.7804\n",
+            "Epoch 23/100\n",
+            "188/188 [==============================] - 15s 77ms/step - loss: 0.3918 - accuracy: 0.8631 - val_loss: 0.7274 - val_accuracy: 0.7610\n",
+            "Epoch 24/100\n",
+            "188/188 [==============================] - 15s 78ms/step - loss: 0.3702 - accuracy: 0.8676 - val_loss: 0.7525 - val_accuracy: 0.7563\n",
+            "Epoch 25/100\n",
+            "188/188 [==============================] - 15s 78ms/step - loss: 0.3665 - accuracy: 0.8666 - val_loss: 0.7278 - val_accuracy: 0.7610\n",
+            "Epoch 26/100\n",
+            "188/188 [==============================] - 19s 101ms/step - loss: 0.3285 - accuracy: 0.8870 - val_loss: 0.7442 - val_accuracy: 0.7684\n",
+            "Epoch 27/100\n",
+            "188/188 [==============================] - 15s 80ms/step - loss: 0.3316 - accuracy: 0.8847 - val_loss: 0.7145 - val_accuracy: 0.7757\n",
+            "Epoch 28/100\n",
+            "188/188 [==============================] - 15s 80ms/step - loss: 0.2982 - accuracy: 0.8960 - val_loss: 0.7609 - val_accuracy: 0.7697\n",
+            "Epoch 29/100\n",
+            "188/188 [==============================] - 14s 77ms/step - loss: 0.3235 - accuracy: 0.8868 - val_loss: 0.7098 - val_accuracy: 0.7717\n",
+            "Epoch 30/100\n",
+            "188/188 [==============================] - 14s 77ms/step - loss: 0.2782 - accuracy: 0.9049 - val_loss: 0.7270 - val_accuracy: 0.7784\n",
+            "Epoch 31/100\n",
+            "188/188 [==============================] - 15s 80ms/step - loss: 0.2854 - accuracy: 0.9022 - val_loss: 0.7862 - val_accuracy: 0.7724\n",
+            "Epoch 32/100\n",
+            "188/188 [==============================] - 15s 80ms/step - loss: 0.2875 - accuracy: 0.9007 - val_loss: 0.7861 - val_accuracy: 0.7677\n",
+            "Epoch 33/100\n",
+            "188/188 [==============================] - 15s 78ms/step - loss: 0.2593 - accuracy: 0.9104 - val_loss: 0.8103 - val_accuracy: 0.7664\n",
+            "Epoch 34/100\n",
+            "188/188 [==============================] - 14s 77ms/step - loss: 0.2606 - accuracy: 0.9102 - val_loss: 0.7927 - val_accuracy: 0.7644\n",
+            "Epoch 35/100\n",
+            "188/188 [==============================] - 15s 81ms/step - loss: 0.2530 - accuracy: 0.9085 - val_loss: 0.8215 - val_accuracy: 0.7557\n",
+            "Epoch 36/100\n",
+            "188/188 [==============================] - 15s 81ms/step - loss: 0.2506 - accuracy: 0.9089 - val_loss: 0.9575 - val_accuracy: 0.7450\n",
+            "Epoch 37/100\n",
+            "188/188 [==============================] - 14s 77ms/step - loss: 0.2335 - accuracy: 0.9192 - val_loss: 0.7871 - val_accuracy: 0.7724\n",
+            "Epoch 38/100\n",
+            "188/188 [==============================] - 15s 81ms/step - loss: 0.2239 - accuracy: 0.9227 - val_loss: 0.8448 - val_accuracy: 0.7684\n",
+            "Epoch 39/100\n",
+            "188/188 [==============================] - 15s 80ms/step - loss: 0.2005 - accuracy: 0.9312 - val_loss: 0.8259 - val_accuracy: 0.7784\n",
+            "Epoch 40/100\n",
+            "188/188 [==============================] - 15s 77ms/step - loss: 0.2002 - accuracy: 0.9344 - val_loss: 0.8174 - val_accuracy: 0.7637\n",
+            "Epoch 41/100\n",
+            "188/188 [==============================] - 15s 81ms/step - loss: 0.2027 - accuracy: 0.9291 - val_loss: 0.8557 - val_accuracy: 0.7557\n",
+            "Epoch 42/100\n",
+            "188/188 [==============================] - 17s 91ms/step - loss: 0.2037 - accuracy: 0.9296 - val_loss: 0.8441 - val_accuracy: 0.7670\n",
+            "Epoch 43/100\n",
+            "188/188 [==============================] - 14s 77ms/step - loss: 0.2074 - accuracy: 0.9309 - val_loss: 0.8630 - val_accuracy: 0.7583\n",
+            "Epoch 44/100\n",
+            "188/188 [==============================] - 14s 77ms/step - loss: 0.1802 - accuracy: 0.9366 - val_loss: 0.9165 - val_accuracy: 0.7603\n",
+            "Epoch 45/100\n",
+            "188/188 [==============================] - 15s 81ms/step - loss: 0.1906 - accuracy: 0.9344 - val_loss: 1.0092 - val_accuracy: 0.7397\n",
+            "Epoch 46/100\n",
+            "188/188 [==============================] - 15s 81ms/step - loss: 0.1706 - accuracy: 0.9391 - val_loss: 0.8167 - val_accuracy: 0.7730\n",
+            "Epoch 47/100\n",
+            "188/188 [==============================] - 14s 77ms/step - loss: 0.1770 - accuracy: 0.9377 - val_loss: 0.9015 - val_accuracy: 0.7590\n",
+            "Epoch 48/100\n",
+            "188/188 [==============================] - 15s 80ms/step - loss: 0.1623 - accuracy: 0.9422 - val_loss: 0.9185 - val_accuracy: 0.7590\n",
+            "Epoch 49/100\n",
+            "188/188 [==============================] - 15s 80ms/step - loss: 0.1698 - accuracy: 0.9426 - val_loss: 0.8583 - val_accuracy: 0.7764\n",
+            "Epoch 50/100\n",
+            "188/188 [==============================] - 15s 81ms/step - loss: 0.1622 - accuracy: 0.9407 - val_loss: 0.9780 - val_accuracy: 0.7557\n",
+            "Epoch 51/100\n",
+            "188/188 [==============================] - 15s 81ms/step - loss: 0.1538 - accuracy: 0.9481 - val_loss: 0.8769 - val_accuracy: 0.7570\n",
+            "Epoch 52/100\n",
+            "188/188 [==============================] - 15s 81ms/step - loss: 0.1667 - accuracy: 0.9421 - val_loss: 0.9579 - val_accuracy: 0.7603\n",
+            "Epoch 53/100\n",
+            "188/188 [==============================] - 15s 81ms/step - loss: 0.1587 - accuracy: 0.9429 - val_loss: 0.8764 - val_accuracy: 0.7750\n",
+            "Epoch 54/100\n",
+            "188/188 [==============================] - 15s 78ms/step - loss: 0.1565 - accuracy: 0.9446 - val_loss: 0.9518 - val_accuracy: 0.7664\n",
+            "Epoch 55/100\n",
+            "188/188 [==============================] - 15s 78ms/step - loss: 0.1462 - accuracy: 0.9524 - val_loss: 0.8640 - val_accuracy: 0.7744\n",
+            "Epoch 56/100\n",
+            "188/188 [==============================] - 15s 80ms/step - loss: 0.1592 - accuracy: 0.9426 - val_loss: 0.8171 - val_accuracy: 0.7764\n",
+            "Epoch 57/100\n",
+            "188/188 [==============================] - 16s 83ms/step - loss: 0.1340 - accuracy: 0.9551 - val_loss: 1.0506 - val_accuracy: 0.7443\n",
+            "Epoch 58/100\n",
+            "188/188 [==============================] - 15s 82ms/step - loss: 0.1596 - accuracy: 0.9417 - val_loss: 0.9334 - val_accuracy: 0.7730\n",
+            "Epoch 59/100\n",
+            "188/188 [==============================] - 15s 77ms/step - loss: 0.1394 - accuracy: 0.9523 - val_loss: 0.9365 - val_accuracy: 0.7837\n",
+            "Epoch 60/100\n",
+            "188/188 [==============================] - 15s 77ms/step - loss: 0.1308 - accuracy: 0.9574 - val_loss: 0.9450 - val_accuracy: 0.7764\n",
+            "Epoch 61/100\n",
+            "188/188 [==============================] - 15s 80ms/step - loss: 0.1387 - accuracy: 0.9519 - val_loss: 1.0634 - val_accuracy: 0.7637\n",
+            "Epoch 62/100\n",
+            "188/188 [==============================] - 15s 81ms/step - loss: 0.1381 - accuracy: 0.9534 - val_loss: 0.9938 - val_accuracy: 0.7577\n",
+            "Epoch 63/100\n",
+            "188/188 [==============================] - 15s 81ms/step - loss: 0.1440 - accuracy: 0.9498 - val_loss: 0.9783 - val_accuracy: 0.7677\n",
+            "Epoch 64/100\n",
+            "188/188 [==============================] - 14s 77ms/step - loss: 0.1408 - accuracy: 0.9508 - val_loss: 1.0253 - val_accuracy: 0.7650\n",
+            "Epoch 65/100\n",
+            "188/188 [==============================] - 15s 77ms/step - loss: 0.1281 - accuracy: 0.9554 - val_loss: 0.9248 - val_accuracy: 0.7884\n",
+            "Epoch 66/100\n",
+            "188/188 [==============================] - 15s 81ms/step - loss: 0.1377 - accuracy: 0.9531 - val_loss: 1.0000 - val_accuracy: 0.7664\n",
+            "Epoch 67/100\n",
+            "188/188 [==============================] - 15s 80ms/step - loss: 0.1318 - accuracy: 0.9563 - val_loss: 1.0118 - val_accuracy: 0.7617\n",
+            "Epoch 68/100\n",
+            "188/188 [==============================] - 15s 80ms/step - loss: 0.1148 - accuracy: 0.9596 - val_loss: 1.0934 - val_accuracy: 0.7563\n",
+            "Epoch 69/100\n",
+            "188/188 [==============================] - 14s 77ms/step - loss: 0.1235 - accuracy: 0.9588 - val_loss: 0.9807 - val_accuracy: 0.7717\n",
+            "Epoch 70/100\n",
+            "188/188 [==============================] - 15s 78ms/step - loss: 0.1490 - accuracy: 0.9494 - val_loss: 1.0915 - val_accuracy: 0.7550\n",
+            "Epoch 71/100\n",
+            "188/188 [==============================] - 15s 81ms/step - loss: 0.1310 - accuracy: 0.9551 - val_loss: 0.9927 - val_accuracy: 0.7764\n",
+            "Epoch 72/100\n",
+            "188/188 [==============================] - 15s 80ms/step - loss: 0.1145 - accuracy: 0.9613 - val_loss: 1.0570 - val_accuracy: 0.7644\n",
+            "Epoch 73/100\n",
+            "188/188 [==============================] - 17s 92ms/step - loss: 0.1111 - accuracy: 0.9601 - val_loss: 1.0538 - val_accuracy: 0.7543\n",
+            "Epoch 74/100\n",
+            "188/188 [==============================] - 14s 77ms/step - loss: 0.0952 - accuracy: 0.9673 - val_loss: 0.9481 - val_accuracy: 0.7797\n",
+            "Epoch 75/100\n",
+            "188/188 [==============================] - 15s 77ms/step - loss: 0.1142 - accuracy: 0.9613 - val_loss: 1.0432 - val_accuracy: 0.7764\n",
+            "Epoch 76/100\n",
+            "188/188 [==============================] - 14s 77ms/step - loss: 0.1048 - accuracy: 0.9663 - val_loss: 1.0456 - val_accuracy: 0.7684\n",
+            "Epoch 77/100\n",
+            "188/188 [==============================] - 15s 77ms/step - loss: 0.0978 - accuracy: 0.9654 - val_loss: 1.1003 - val_accuracy: 0.7603\n",
+            "Epoch 78/100\n",
+            "188/188 [==============================] - 15s 77ms/step - loss: 0.1050 - accuracy: 0.9636 - val_loss: 1.0360 - val_accuracy: 0.7730\n",
+            "Epoch 79/100\n",
+            "188/188 [==============================] - 15s 77ms/step - loss: 0.0980 - accuracy: 0.9653 - val_loss: 1.1311 - val_accuracy: 0.7557\n",
+            "Epoch 80/100\n",
+            "188/188 [==============================] - 15s 78ms/step - loss: 0.1104 - accuracy: 0.9599 - val_loss: 1.0757 - val_accuracy: 0.7577\n",
+            "Epoch 81/100\n",
+            "188/188 [==============================] - 15s 77ms/step - loss: 0.1132 - accuracy: 0.9626 - val_loss: 1.1833 - val_accuracy: 0.7563\n",
+            "Epoch 82/100\n",
+            "188/188 [==============================] - 15s 77ms/step - loss: 0.0923 - accuracy: 0.9690 - val_loss: 1.0263 - val_accuracy: 0.7757\n",
+            "Epoch 83/100\n",
+            "188/188 [==============================] - 15s 78ms/step - loss: 0.1189 - accuracy: 0.9554 - val_loss: 1.1325 - val_accuracy: 0.7724\n",
+            "Epoch 84/100\n",
+            "188/188 [==============================] - 15s 77ms/step - loss: 0.1085 - accuracy: 0.9638 - val_loss: 1.0343 - val_accuracy: 0.7750\n",
+            "Epoch 85/100\n",
+            "188/188 [==============================] - 15s 78ms/step - loss: 0.0890 - accuracy: 0.9691 - val_loss: 1.0961 - val_accuracy: 0.7610\n",
+            "Epoch 86/100\n",
+            "188/188 [==============================] - 15s 77ms/step - loss: 0.1086 - accuracy: 0.9643 - val_loss: 1.1452 - val_accuracy: 0.7577\n",
+            "Epoch 87/100\n",
+            "188/188 [==============================] - 15s 77ms/step - loss: 0.0898 - accuracy: 0.9695 - val_loss: 1.1028 - val_accuracy: 0.7637\n",
+            "Epoch 88/100\n",
+            "188/188 [==============================] - 15s 78ms/step - loss: 0.1063 - accuracy: 0.9608 - val_loss: 1.1511 - val_accuracy: 0.7557\n",
+            "Epoch 89/100\n",
+            "188/188 [==============================] - 15s 77ms/step - loss: 0.1194 - accuracy: 0.9598 - val_loss: 1.0547 - val_accuracy: 0.7644\n",
+            "Epoch 90/100\n",
+            "188/188 [==============================] - 17s 89ms/step - loss: 0.1102 - accuracy: 0.9629 - val_loss: 1.1345 - val_accuracy: 0.7704\n",
+            "Epoch 91/100\n",
+            "188/188 [==============================] - 15s 81ms/step - loss: 0.0945 - accuracy: 0.9686 - val_loss: 1.0560 - val_accuracy: 0.7737\n",
+            "Epoch 92/100\n",
+            "188/188 [==============================] - 15s 79ms/step - loss: 0.0900 - accuracy: 0.9700 - val_loss: 1.1665 - val_accuracy: 0.7597\n",
+            "Epoch 93/100\n",
+            "188/188 [==============================] - 15s 78ms/step - loss: 0.0989 - accuracy: 0.9641 - val_loss: 1.1975 - val_accuracy: 0.7543\n",
+            "Epoch 94/100\n",
+            "188/188 [==============================] - 15s 77ms/step - loss: 0.0850 - accuracy: 0.9695 - val_loss: 1.2594 - val_accuracy: 0.7523\n",
+            "Epoch 95/100\n",
+            "188/188 [==============================] - 15s 78ms/step - loss: 0.0749 - accuracy: 0.9745 - val_loss: 1.0570 - val_accuracy: 0.7844\n",
+            "Epoch 96/100\n",
+            "188/188 [==============================] - 15s 78ms/step - loss: 0.0802 - accuracy: 0.9711 - val_loss: 1.1398 - val_accuracy: 0.7637\n",
+            "Epoch 97/100\n",
+            "188/188 [==============================] - 15s 78ms/step - loss: 0.1023 - accuracy: 0.9651 - val_loss: 1.1391 - val_accuracy: 0.7557\n",
+            "Epoch 98/100\n",
+            "188/188 [==============================] - 15s 79ms/step - loss: 0.1044 - accuracy: 0.9623 - val_loss: 1.0820 - val_accuracy: 0.7744\n",
+            "Epoch 99/100\n",
+            "188/188 [==============================] - 15s 78ms/step - loss: 0.0861 - accuracy: 0.9716 - val_loss: 1.3254 - val_accuracy: 0.7303\n",
+            "Epoch 100/100\n",
+            "188/188 [==============================] - 14s 77ms/step - loss: 0.1016 - accuracy: 0.9641 - val_loss: 1.1219 - val_accuracy: 0.7757\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "# Model Evaluation "
+      ],
+      "metadata": {
+        "id": "-dnL_x287J74"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "plot_history(history2)"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 472
+        },
+        "id": "3LqFqBr9SDH6",
+        "outputId": "bc15c5a1-8784-4df4-cc97-d67d03761093"
+      },
+      "execution_count": 117,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 640x480 with 2 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {}
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "# Creating a Confusion Matrix "
+      ],
+      "metadata": {
+        "id": "HvjNftrI692R"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "import numpy as np\n",
+        "import seaborn as sns\n",
+        "import matplotlib.pyplot as plt\n",
+        "\n",
+        "def create_confusion_matrix(y_true, y_pred, class_labels):\n",
+        "    num_classes = len(class_labels)\n",
+        "    confusion_matrix = np.zeros((num_classes, num_classes), dtype=np.int32)\n",
+        "\n",
+        "    for i in range(len(y_true)):\n",
+        "        true_label = np.argmax(y_true[i])\n",
+        "        pred_label = np.argmax(y_pred[i])\n",
+        "\n",
+        "        if true_label >= num_classes or pred_label >= num_classes:\n",
+        "            continue\n",
+        "\n",
+        "        confusion_matrix[true_label, pred_label] += 1\n",
+        "\n",
+        "    plt.figure(figsize=(10, 8))\n",
+        "    sns.heatmap(confusion_matrix, annot=True, fmt='d', cmap='Blues', xticklabels=class_labels, yticklabels=class_labels)\n",
+        "    plt.xlabel('Predicted Labels')\n",
+        "    plt.ylabel('True Labels')\n",
+        "    plt.title('Confusion Matrix')\n",
+        "    plt.show()\n",
+        "\n",
+        "# Assuming `history` is the variable storing the training history\n",
+        "y_pred = model_cnn.predict(X_validation)\n",
+        "class_labels = ['blues', 'classical', 'country', 'disco', 'hiphop', 'jazz', 'metal', 'pop', 'reggae', 'rock']\n",
+        "\n",
+        "create_confusion_matrix(y_validation_categorical, y_pred, class_labels)"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 735
+        },
+        "id": "r0ehtm0oTIxk",
+        "outputId": "15b24f9e-d177-41c1-cdfb-7f04b893d7f1"
+      },
+      "execution_count": 126,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "47/47 [==============================] - 2s 44ms/step\n"
+          ]
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 1000x800 with 2 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {}
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "# Visualize the architecture "
+      ],
+      "metadata": {
+        "id": "llD_7r-j83Jp"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "keras.utils.plot_model(model_cnn, show_shapes=True)"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 1000
+        },
+        "id": "BIxUZgJ-fGHI",
+        "outputId": "90357a4d-f574-44db-c23b-55f9034e8d0a"
+      },
+      "execution_count": 130,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "image/png": 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\n",
+            "text/plain": [
+              "<IPython.core.display.Image object>"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 130
+        }
+      ]
+    },
     {
       "cell_type": "markdown",
       "source": [