Update notebooks

Author: fchollet

chapter02_mathematical-building-blocks.ipynb

@@ -1404,15 +1404,6 @@
     "matches = predicted_labels == test_labels\n",
     "f\"accuracy: {ops.mean(matches):.2f}\""
    ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "colab_type": "text"
-   },
-   "source": [
-    "### Summary"
-   ]
   }
  ],
  "metadata": {

chapter03_introduction-to-ml-frameworks.ipynb

@@ -1720,15 +1720,6 @@
     "predictions = model.predict(val_inputs, batch_size=128)\n",
     "print(predictions[:10])"
    ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "colab_type": "text"
-   },
-   "source": [
-    "### Summary"
-   ]
   }
  ],
  "metadata": {

chapter04_classification-and-regression.ipynb

@@ -1246,15 +1246,6 @@
    "source": [
     "#### Wrapping up"
    ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "colab_type": "text"
-   },
-   "source": [
-    "### Summary"
-   ]
   }
  ],
  "metadata": {

chapter05_fundamentals-of-ml.ipynb

@@ -926,15 +926,6 @@
     "plt.legend()\n",
     "plt.show()"
    ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "colab_type": "text"
-   },
-   "source": [
-    "### Summary"
-   ]
   }
  ],
  "metadata": {

chapter07_deep-dive-keras.ipynb

@@ -1885,15 +1885,6 @@
     "        )\n",
     "        return logs, state"
    ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "colab_type": "text"
-   },
-   "source": [
-    "### Summary"
-   ]
   }
  ],
  "metadata": {

chapter08_image-classification.ipynb

@@ -971,15 +971,6 @@
     "test_loss, test_acc = model.evaluate(test_dataset)\n",
     "print(f\"Test accuracy: {test_acc:.3f}\")"
    ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "colab_type": "text"
-   },
-   "source": [
-    "### Summary"
-   ]
   }
  ],
  "metadata": {

chapter09_convnet-architecture-patterns.ipynb

@@ -322,15 +322,6 @@
    "source": [
     "### Beyond convolution: Vision Transformers"
    ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "colab_type": "text"
-   },
-   "source": [
-    "### Summary"
-   ]
   }
  ],
  "metadata": {

chapter10_interpreting-what-convnets-learn.ipynb

@@ -931,15 +931,6 @@
    "source": [
     "### Visualizing the latent space of a convnet"
    ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "colab_type": "text"
-   },
-   "source": [
-    "### Summary"
-   ]
   }
  ],
  "metadata": {

chapter11_image-segmentation.ipynb

@@ -629,15 +629,6 @@
     "show_box(input_box, plt.gca())\n",
     "plt.show()"
    ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "colab_type": "text"
-   },
-   "source": [
-    "### Summary"
-   ]
   }
  ],
  "metadata": {

chapter12_object-detection.ipynb

@@ -657,15 +657,6 @@
     "    draw_box(ax, box, label_name, label_to_color(label))\n",
     "plt.show()"
    ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "colab_type": "text"
-   },
-   "source": [
-    "### Summary"
-   ]
   }
  ],
  "metadata": {