diff --git a/GAN/01-DCGAN-with-MNIST.ipynb b/GAN/01-DCGAN-with-MNIST.ipynb
deleted file mode 100644
index f2d1b6bd2b8636ebd8de4d2a8eee5663f2dce2b6..0000000000000000000000000000000000000000
--- a/GAN/01-DCGAN-with-MNIST.ipynb
+++ /dev/null
@@ -1,582 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<img width=\"800px\" src=\"../fidle/img/00-Fidle-header-01.svg\"></img>\n",
-    "\n",
-    "# <!-- TITLE --> [DCGAN1] - Deep Convolutional GAN with MNIST dataset\n",
-    "<!-- DESC --> Example of DCGAN with handwritten digit dataset\n",
-    "<!-- AUTHOR : Jean-Luc Parouty (CNRS/SIMaP) -->\n",
-    "\n",
-    "## Objectives :\n",
-    " - Generate handwritten digit with a GAN\n",
-    " - Understanding the principle of a GAN \n",
-    " - Implementation with Keras \n",
-    "\n",
-    "Note : Deep Convolutional Generative Adversarial Network (DCGAN) is \"Réseau Adversaire Génératif Convolutionnel Profond\" in french..\n",
-    "\n",
-    "The [MNIST dataset](http://yann.lecun.com/exdb/mnist/) (Modified National Institute of Standards and Technology) is a must for Deep Learning.  \n",
-    "It consists of 60,000 small images of handwritten numbers for learning and 10,000 for testing.\n",
-    "\n",
-    "\n",
-    "## What we're going to do :\n",
-    "\n",
-    " - Retrieve data\n",
-    " - Preparing the data\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Step 1 - Init python stuff"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-       "div.todo{\n",
-       "    font-weight: bold;\n",
-       "    font-size: 1.1em;\n",
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-       "div.todo ul{\n",
-       "    margin: 0.2em;\n",
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-       "\n",
-       "\n",
-       "</style>\n",
-       "\n"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n",
-      "FIDLE 2020 - Practical Work Module\n",
-      "Version              : 0.5.0\n",
-      "Run time             : Friday 4 September 2020, 15:36:47\n",
-      "TensorFlow version   : 2.0.0\n",
-      "Keras version        : 2.2.4-tf\n",
-      "Save figs            : True\n",
-      "Path figs            : ./figs/01-DCGAN\n"
-     ]
-    }
-   ],
-   "source": [
-    "import tensorflow as tf\n",
-    "from tensorflow import keras\n",
-    "\n",
-    "import numpy as np\n",
-    "import matplotlib.pyplot as plt\n",
-    "import sys,os\n",
-    "\n",
-    "sys.path.append('..')\n",
-    "import fidle.pwk as ooo\n",
-    "\n",
-    "ooo.init()\n",
-    "ooo.set_save_fig(save=True, figs_dir='./figs/01-DCGAN', figs_name='fig_', figs_id=0)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Step 2 - Retrieve data\n",
-    "MNIST is one of the most famous historic dataset.  \n",
-    "Include in [Keras datasets](https://www.tensorflow.org/api_docs/python/tf/keras/datasets)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "x_train :  (60000, 28, 28)\n",
-      "y_train :  (60000,)\n",
-      "x_test  :  (10000, 28, 28)\n",
-      "y_test  :  (10000,)\n"
-     ]
-    }
-   ],
-   "source": [
-    "(x_train, y_train), (x_test, y_test) = keras.datasets.mnist.load_data()\n",
-    "\n",
-    "print(\"x_train : \",x_train.shape)\n",
-    "print(\"y_train : \",y_train.shape)\n",
-    "print(\"x_test  : \",x_test.shape)\n",
-    "print(\"y_test  : \",y_test.shape)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Step 3 - Preparing the data\n",
-    "### 3.1 - Load MNIST dataset (real data)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Before normalization : Min=0, max=255\n",
-      "After normalization  : Min=0.0, max=1.0\n"
-     ]
-    }
-   ],
-   "source": [
-    "print('Before normalization : Min={}, max={}'.format(x_train.min(),x_train.max()))\n",
-    "\n",
-    "xmax=x_train.max()\n",
-    "x_train = x_train / xmax\n",
-    "x_test  = x_test  / xmax\n",
-    "\n",
-    "print('After normalization  : Min={}, max={}'.format(x_train.min(),x_train.max()))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### 3.2 - Have a look"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 4320x385.2 with 2 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 864x291.6 with 36 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "ooo.plot_images(x_train, y_train, [27],  x_size=5,y_size=5, colorbar=True)\n",
-    "ooo.plot_images(x_train, y_train, range(5,41), columns=12)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### 3.3 - Latent / Real / Fake data"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def get_real_batch(x_dataset, batch_size):\n",
-    "    '''\n",
-    "    Get a real randomized set of data\n",
-    "    args:\n",
-    "        x_dataset : array of real images\n",
-    "        batch_size : size of desired batch set\n",
-    "    return:\n",
-    "        X : array of batch_size images\n",
-    "        y : array of batch_size classe 1 (class 1 mean real)\n",
-    "    '''\n",
-    "    # ---- Get random indices\n",
-    "    ii = np.random.randint(0, x_dataset.shape[0], batch_size)\n",
-    "    # ---- Retrieve images\n",
-    "    X = x_dataset[ii]\n",
-    "    # ---- Class labels (as real : 1)\n",
-    "    y = ones((batch_size, 1))\n",
-    "    return X, y\n",
-    "\n",
-    "\n",
-    "def get_latent_batch(latent_size, batch_size):\n",
-    "    '''\n",
-    "    Get a set of latent data\n",
-    "    args:\n",
-    "        latent_size : Size of the latent space\n",
-    "        batch_size : size of desired batch set\n",
-    "    return:\n",
-    "        x : array of batch_size latent vectors\n",
-    "    '''\n",
-    "    # ---- Get random points\n",
-    "    x = np.random.randn(latent_size * batch_size)\n",
-    "    # ---- Reshape it\n",
-    "    x = x.reshape(batch_size, latent_size)\n",
-    "    return x\n",
-    "\n",
-    "\n",
-    "def get_fake_batch(model_gen, latent_size, batch_size):\n",
-    "    '''\n",
-    "    Get a set of fake images\n",
-    "    args:\n",
-    "        model_g : Generator model\n",
-    "        lenten_size : Size of the latent space\n",
-    "        batch_size : Size of desired batch set\n",
-    "    return:\n",
-    "        X : array of batch_size fake images\n",
-    "        y : array of batch_size classe 1 (class 1 mean real)\n",
-    "    '''\n",
-    "    # ---- Get latent vectors\n",
-    "    x_latent = get_latent_batch(latent_size, batch_size)\n",
-    "    # ---- Get prediction\n",
-    "    X = model_gen.predict(x_latent)\n",
-    "    # ---- Class labels (as real : 1)\n",
-    "    y = zeros((batch_size, 1))\n",
-    "    return X, y"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Step 4 - Preparing models"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def get_discriminator_model(lx,ly,lz):\n",
-    "    \n",
-    "    model = keras.models.Sequential()\n",
-    "    model.add( keras.layers.Conv2D(64, (3,3), strides=(2, 2), padding='same', input_shape=(lx,ly,lz)) )\n",
-    "    model.add( keras.layers.LeakyReLU(alpha=0.2) )\n",
-    "    model.add( keras.layers.Dropout(0.4))\n",
-    "    \n",
-    "    model.add( keras.layers.Conv2D(64, (3,3), strides=(2, 2), padding='same') )\n",
-    "    model.add( keras.layers.LeakyReLU(alpha=0.2) )\n",
-    "    model.add( keras.layers.Dropout(0.4) )\n",
-    "    \n",
-    "    model.add( keras.layers.Flatten() )\n",
-    "    model.add( keras.layers.Dense(1, activation='sigmoid') )\n",
-    "    \n",
-    "    model.compile(loss      = 'binary_crossentropy', \n",
-    "                  optimizer = keras.optimizers.Adam(lr=0.0002, beta_1=0.5), \n",
-    "                  metrics   = ['accuracy'])\n",
-    "    return model\n",
-    "\n",
-    "\n",
-    "def get_generator_model(latent_size):\n",
-    "    \n",
-    "    model = keras.models.Sequential()\n",
-    "    \n",
-    "    # ---- latent vector => 7x7 images, 128 versions\n",
-    "    #\n",
-    "    model.add( keras.layers.Dense(7*7*128, input_dim=latent_size) )\n",
-    "    model.add( keras.layers.LeakyReLU(alpha=0.2) )\n",
-    "    model.add( keras.layers.Reshape((7, 7, 128)) )\n",
-    "\n",
-    "    # ---- 7x7 => 14x14, 128 versions\n",
-    "    #\n",
-    "    model.add( keras.layers.Conv2DTranspose(128, (4,4), strides=(2,2), padding='same') )\n",
-    "    model.add( keras.layers.LeakyReLU(alpha=0.2) )\n",
-    "    \n",
-    "    # ---- 14x14 => 28x28, 128 versions\n",
-    "    #\n",
-    "    model.add( keras.layers.Conv2DTranspose(128, (4,4), strides=(2,2), padding='same') )\n",
-    "    model.add( keras.layers.LeakyReLU(alpha=0.2) )\n",
-    "    \n",
-    "    # ---- 28x28, 128 versions => 28x28 [0,1]\n",
-    "    #\n",
-    "    model.add( keras.layers.Conv2D(1, (7,7), padding='same', activation='sigmoid') )\n",
-    "    return model\n",
-    "\n",
-    "\n",
-    "def get_gan_model(model_gen, model_disc):\n",
-    "    \n",
-    "    # ---- This model will be use to only train the generator\n",
-    "    #      because all generated images are fake\n",
-    "    #\n",
-    "    model_disc.trainable = False\n",
-    "    \n",
-    "    # ---- Connect Generator and Discriminator models\n",
-    "    #\n",
-    "    model = keras.models.Sequential()\n",
-    "    model.add(model_gen)\n",
-    "    model.add(model_disc)\n",
-    "    \n",
-    "    # ---- Compile model\n",
-    "    #\n",
-    "    model.compile(loss      = 'binary_crossentropy', \n",
-    "                  optimizer = keras.optimizers.Adam(lr=0.0002, beta_1=0.5), \n",
-    "                  metrics   = ['accuracy'])\n",
-    "\n",
-    "    return model"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Show them"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/markdown": [
-       "<br>**Generator :**"
-      ],
-      "text/plain": [
-       "<IPython.core.display.Markdown object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<IPython.core.display.Image object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/markdown": [
-       "<br>**Discriminator :**"
-      ],
-      "text/plain": [
-       "<IPython.core.display.Markdown object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<IPython.core.display.Image object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/markdown": [
-       "<br>**Gan :**"
-      ],
-      "text/plain": [
-       "<IPython.core.display.Markdown object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<IPython.core.display.Image object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "model_gen  = get_generator_model(100)\n",
-    "model_disc = get_discriminator_model(28,28,1)\n",
-    "model_gan  = get_gan_model(model_gen, model_disc)\n",
-    "\n",
-    "ooo.subtitle('Generator :')\n",
-    "# model_gen.summary()\n",
-    "img_gen = keras.utils.plot_model( model_gen, to_file='./figs/01-DCGAN/generator.png',     show_shapes=True, show_layer_names=True, dpi=72)\n",
-    "display(img_gen)\n",
-    "\n",
-    "ooo.subtitle('Discriminator :')\n",
-    "# model_disc.summary()\n",
-    "img_disc = keras.utils.plot_model( model_disc, to_file='./figs/01-DCGAN/discriminator.png', show_shapes=True, show_layer_names=True, dpi=72)\n",
-    "display(img_disc)\n",
-    "\n",
-    "ooo.subtitle('Gan :')\n",
-    "# model_gan.summary()\n",
-    "img_gan = keras.utils.plot_model( model_gan, to_file='./figs/01-DCGAN/gan.png',     show_shapes=True, show_layer_names=True, dpi=72)\n",
-    "display(img_gan)\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Step 5 - Training "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def train_gan(model_gan, latent_size, batch_size=256, n_epochs=100):\n",
-    "    '''\n",
-    "    Entraine le génerateur à partir des erreurs du discriminateur.\n",
-    "    Pour cela, on entraine le modèle gan (generateur->discriminateur) dont le discriminateur est figé.\n",
-    "    '''\n",
-    "    \n",
-    "    # ---- Epoch after epoch...\n",
-    "    #\n",
-    "    for i in range(n_epochs):\n",
-    "        # ---- Get train data\n",
-    "        x_gan = get_latent_batch(latent_size, batch_size)\n",
-    "        y_gan = ones((batch_size, 1))\n",
-    "        # ---- Train and update the generator via the discriminator's errors\n",
-    "        model_gan.train_on_batch(x_gan, y_gan)\n",
-    "    \n",
-    "    \n",
-    "def train(model_gen, model_disc, model_gan, dataset, latent_size, batch_size=256, n_epochs=100):\n",
-    "    \n",
-    "    batch_per_epoch = int(dataset.shape[0] / batch_size)\n",
-    "    half_batch      = int(batch_size / 2)\n",
-    "    \n",
-    "    # ---- Epoch after epoch...\n",
-    "    #\n",
-    "    for i in range(n_epochs):\n",
-    "        \n",
-    "        # ---- Batch after batch\n",
-    "        #\n",
-    "        for j in range(batch_per_epoch):\n",
-    "\n",
-    "            # ---- Train discriminator\n",
-    "            #\n",
-    "            # Prepare real and fake images and concatenate them\n",
-    "            #\n",
-    "            x_real, y_real = get_real_batch(dataset, half_batch)\n",
-    "            x_fake, y_fake = get_fake_batch(model_gen, latent_size, half_batch)\n",
-    "            x, y = vstack((x_real, x_fake)), vstack((y_real, y_fake))\n",
-    "            #\n",
-    "            # Train discriminator\n",
-    "            #\n",
-    "            loss_disc, _ = model_disc.train_on_batch(x, y)\n",
-    "            \n",
-    "            # ---- Train generator\n",
-    "            #\n",
-    "            # Prepare latent batch for the generator (gan model)\n",
-    "            #\n",
-    "            x = get_latent_batch(latent_size, batch_size)\n",
-    "            y = ones((n_batch, 1))\n",
-    "            #\n",
-    "            # Train it via the discriminator's errors\n",
-    "            #\n",
-    "            loss_gen = model_gan.train_on_batch(x, y)\n",
-    "            \n",
-    "            # ---- Show batch loss\n",
-    "            #\n",
-    "            print('>%d, %d/%d, d=%.3f, g=%.3f' % (i+1, j+1, batch_per_epoch, loss_disc, loss_gen))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# next : p117"
-   ]
-  }
- ],
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-   "name": "python3"
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-    "name": "ipython",
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