├── .gitignore ├── Chapter 03 ├── .ipynb_checkpoints │ ├── 01 - Upsampling with Keras-checkpoint.ipynb │ ├── 02 - Generative Model with UpSampling2D-checkpoint.ipynb │ ├── 03 - How to use the Transpose Convolutional Layer-checkpoint.ipynb │ └── 04 - Generative Model with Conv2DTranspose-checkpoint.ipynb ├── 01 - Upsampling with Keras.ipynb ├── 02 - Generative Model with UpSampling2D.ipynb ├── 03 - How to use the Transpose Convolutional Layer.ipynb └── 04 - Generative Model with Conv2DTranspose.ipynb ├── Chapter 05 ├── .ipynb_checkpoints │ └── 01 - GAN Hacks-checkpoint.ipynb └── 01 - GAN Hacks.ipynb ├── Chapter 06 ├── .ipynb_checkpoints │ ├── 01 - Define and train Discriminator-checkpoint.ipynb │ ├── 02 - Define and train Generator-checkpoint.ipynb │ ├── 03 - Define GAN model-checkpoint.ipynb │ ├── 04 - Training the GAN Model-checkpoint.ipynb │ └── 05 - Training the GAN Model (Bonus)-checkpoint.ipynb ├── 01 - Define and train Discriminator.ipynb ├── 02 - Define and train Generator.ipynb ├── 03 - Define GAN model.ipynb ├── 04 - Training the GAN Model.ipynb ├── 05 - Sin │ ├── 01 │ │ ├── Eval_Epoch1000.png │ │ ├── Eval_Epoch10000.png │ │ ├── Eval_Epoch11000.png │ │ ├── Eval_Epoch12000.png │ │ ├── Eval_Epoch13000.png │ │ ├── Eval_Epoch14000.png │ │ ├── Eval_Epoch15000.png │ │ ├── Eval_Epoch16000.png │ │ ├── Eval_Epoch17000.png │ │ ├── Eval_Epoch18000.png │ │ ├── Eval_Epoch19000.png │ │ ├── Eval_Epoch2000.png │ │ ├── Eval_Epoch20000.png │ │ ├── Eval_Epoch3000.png │ │ ├── Eval_Epoch4000.png │ │ ├── Eval_Epoch5000.png │ │ ├── Eval_Epoch6000.png │ │ ├── Eval_Epoch7000.png │ │ ├── Eval_Epoch8000.png │ │ └── Eval_Epoch9000.png │ ├── 02 │ │ ├── Eval_Epoch10000.png │ │ ├── Eval_Epoch12000.png │ │ ├── Eval_Epoch14000.png │ │ ├── Eval_Epoch16000.png │ │ ├── Eval_Epoch18000.png │ │ ├── Eval_Epoch2000.png │ │ ├── Eval_Epoch20000.png │ │ ├── Eval_Epoch22000.png │ │ ├── Eval_Epoch24000.png │ │ ├── Eval_Epoch26000.png │ │ ├── Eval_Epoch28000.png │ │ ├── Eval_Epoch30000.png │ │ ├── Eval_Epoch32000.png │ │ ├── Eval_Epoch34000.png │ │ ├── Eval_Epoch36000.png │ │ ├── Eval_Epoch38000.png │ │ ├── Eval_Epoch4000.png │ │ ├── Eval_Epoch40000.png │ │ ├── Eval_Epoch42000.png │ │ ├── Eval_Epoch44000.png │ │ ├── Eval_Epoch46000.png │ │ ├── Eval_Epoch48000.png │ │ ├── Eval_Epoch50000.png │ │ ├── Eval_Epoch6000.png │ │ └── Eval_Epoch8000.png │ ├── 03 │ │ ├── Eval_Epoch12000.png │ │ ├── Eval_Epoch14000.png │ │ ├── Eval_Epoch18000.png │ │ ├── Eval_Epoch2000.png │ │ ├── Eval_Epoch22000.png │ │ ├── Eval_Epoch26000.png │ │ ├── Eval_Epoch30000.png │ │ ├── Eval_Epoch34000.png │ │ ├── Eval_Epoch38000.png │ │ ├── Eval_Epoch42000.png │ │ ├── Eval_Epoch46000.png │ │ ├── Eval_Epoch48000.png │ │ ├── Eval_Epoch50000.png │ │ ├── Eval_Epoch6000.png │ │ └── Eval_Epoch8000.png │ └── Notebook.ipynb ├── 05 - Training the GAN Model (Bonus).ipynb └── Performance_Eval │ ├── Eval_Epoch10000.png │ ├── Eval_Epoch15000.png │ ├── Eval_Epoch20000.png │ ├── Eval_Epoch25000.png │ ├── Eval_Epoch30000.png │ ├── Eval_Epoch35000.png │ ├── Eval_Epoch40000.png │ ├── Eval_Epoch45000.png │ ├── Eval_Epoch5000.png │ └── Eval_Epoch50000.png ├── Chapter 07 ├── .ipynb_checkpoints │ ├── 01 - MNIST Handwritten Digit Dataset-checkpoint.ipynb │ ├── 02 - Define and train the Discriminator Model-checkpoint.ipynb │ ├── 03 - Defining and training the Generator model-checkpoint.ipynb │ ├── 04 - Training the Generator Model-checkpoint.ipynb │ └── 05 - Using the final Model-checkpoint.ipynb ├── 01 - MNIST Handwritten Digit Dataset.ipynb ├── 02 - Define and train the Discriminator Model.ipynb ├── 03 - Defining and training the Generator model.ipynb ├── 04 - Training the Generator Model.ipynb ├── 05 - Using the final Model.ipynb ├── GeneratedModel.png ├── New │ ├── generated_plot_epoch1.png │ ├── generated_plot_epoch10.png │ ├── generated_plot_epoch100.png │ ├── generated_plot_epoch11.png │ ├── generated_plot_epoch12.png │ ├── generated_plot_epoch13.png │ ├── generated_plot_epoch14.png │ ├── generated_plot_epoch15.png │ ├── generated_plot_epoch16.png │ ├── generated_plot_epoch17.png │ ├── generated_plot_epoch18.png │ ├── generated_plot_epoch19.png │ ├── generated_plot_epoch2.png │ ├── generated_plot_epoch20.png │ ├── generated_plot_epoch21.png │ ├── generated_plot_epoch22.png │ ├── generated_plot_epoch23.png │ ├── generated_plot_epoch24.png │ ├── generated_plot_epoch25.png │ ├── generated_plot_epoch26.png │ ├── generated_plot_epoch27.png │ ├── generated_plot_epoch28.png │ ├── generated_plot_epoch29.png │ ├── generated_plot_epoch3.png │ ├── generated_plot_epoch30.png │ ├── generated_plot_epoch31.png │ ├── generated_plot_epoch32.png │ ├── generated_plot_epoch33.png │ ├── generated_plot_epoch34.png │ ├── generated_plot_epoch35.png │ ├── generated_plot_epoch36.png │ ├── generated_plot_epoch37.png │ ├── generated_plot_epoch38.png │ ├── generated_plot_epoch39.png │ ├── generated_plot_epoch4.png │ ├── generated_plot_epoch40.png │ ├── generated_plot_epoch41.png │ ├── generated_plot_epoch42.png │ ├── generated_plot_epoch43.png │ ├── generated_plot_epoch44.png │ ├── generated_plot_epoch45.png │ ├── generated_plot_epoch46.png │ ├── generated_plot_epoch47.png │ ├── generated_plot_epoch48.png │ ├── generated_plot_epoch49.png │ ├── generated_plot_epoch5.png │ ├── generated_plot_epoch50.png │ ├── generated_plot_epoch51.png │ ├── generated_plot_epoch52.png │ ├── generated_plot_epoch53.png │ ├── generated_plot_epoch54.png │ ├── generated_plot_epoch55.png │ ├── generated_plot_epoch56.png │ ├── generated_plot_epoch57.png │ ├── generated_plot_epoch58.png │ ├── generated_plot_epoch59.png │ ├── generated_plot_epoch6.png │ ├── generated_plot_epoch60.png │ ├── generated_plot_epoch61.png │ ├── generated_plot_epoch62.png │ ├── generated_plot_epoch63.png │ ├── generated_plot_epoch64.png │ ├── generated_plot_epoch65.png │ ├── generated_plot_epoch66.png │ ├── generated_plot_epoch67.png │ ├── generated_plot_epoch68.png │ ├── generated_plot_epoch69.png │ ├── generated_plot_epoch7.png │ ├── generated_plot_epoch70.png │ ├── generated_plot_epoch71.png │ ├── generated_plot_epoch72.png │ ├── generated_plot_epoch73.png │ ├── generated_plot_epoch74.png │ ├── generated_plot_epoch75.png │ ├── generated_plot_epoch76.png │ ├── generated_plot_epoch77.png │ ├── generated_plot_epoch78.png │ ├── generated_plot_epoch79.png │ ├── generated_plot_epoch8.png │ ├── generated_plot_epoch80.png │ ├── generated_plot_epoch81.png │ ├── generated_plot_epoch82.png │ ├── generated_plot_epoch83.png │ ├── generated_plot_epoch84.png │ ├── generated_plot_epoch85.png │ ├── generated_plot_epoch86.png │ ├── generated_plot_epoch87.png │ ├── generated_plot_epoch88.png │ ├── generated_plot_epoch89.png │ ├── generated_plot_epoch9.png │ ├── generated_plot_epoch90.png │ ├── generated_plot_epoch91.png │ ├── generated_plot_epoch92.png │ ├── generated_plot_epoch93.png │ ├── generated_plot_epoch94.png │ ├── generated_plot_epoch95.png │ ├── generated_plot_epoch96.png │ ├── generated_plot_epoch97.png │ ├── generated_plot_epoch98.png │ ├── generated_plot_epoch99.png │ └── generator_model_100.h5 └── Useful Links.txt ├── Chapter 08 ├── .ipynb_checkpoints │ ├── 01 - Working with the CIFAR-10 Dataset-checkpoint.ipynb │ ├── 02 - Define and training the Discriminator model-checkpoint.ipynb │ ├── 03 - Define and training the Generator model-checkpoint.ipynb │ ├── 04 - Training the GAN Model-checkpoint.ipynb │ ├── 05 - Predicting using the final model-checkpoint.ipynb │ ├── 06 - Transition between two image-checkpoint.ipynb │ └── 07 - Retrieve data from disk-checkpoint.ipynb ├── 01 - Working with the CIFAR-10 Dataset.ipynb ├── 02 - Define and training the Discriminator model.ipynb ├── 03 - Define and training the Generator model.ipynb ├── 04 - Training the GAN Model.ipynb ├── 05 - Predicting using the final model.ipynb ├── 06 - Transition between two image.ipynb ├── 07 - Retrieve data from disk.ipynb ├── Transition │ ├── 019.png │ ├── 020.png │ ├── 021.png │ ├── 022.png │ ├── 023.png │ ├── 024.png │ ├── 025.png │ ├── 026.png │ ├── 027.png │ ├── 028.png │ ├── 029.png │ ├── 030.png │ ├── 031.png │ ├── 032.png │ ├── 033.png │ ├── 034.png │ ├── 035.png │ ├── 036.png │ ├── 037.png │ ├── 038.png │ ├── 039.png │ ├── 040.png │ ├── 041.png │ ├── 042.png │ ├── 043.png │ ├── 044.png │ ├── 045.png │ ├── 046.png │ ├── 047.png │ ├── 048.png │ ├── 049.png │ ├── 050.png │ ├── 051.png │ ├── 052.png │ ├── 053.png │ ├── 054.png │ ├── 055.png │ ├── 056.png │ ├── 057.png │ ├── 058.png │ ├── 059.png │ ├── 060.png │ ├── 061.png │ ├── 062.png │ ├── 063.png │ ├── 064.png │ ├── 065.png │ ├── 066.png │ ├── 067.png │ ├── 068.png │ ├── 069.png │ ├── 070.png │ ├── 071.png │ ├── 072.png │ ├── 073.png │ ├── 074.png │ ├── 075.png │ ├── 076.png │ ├── 077.png │ ├── 078.png │ ├── 079.png │ ├── 080.png │ ├── 081.png │ ├── 082.png │ ├── 083.png │ ├── 084.png │ ├── 085.png │ ├── 086.png │ ├── 087.png │ ├── 088.png │ ├── 089.png │ ├── 090.png │ ├── 091.png │ ├── 092.png │ ├── 093.png │ ├── 094.png │ ├── 095.png │ ├── 096.png │ ├── 097.png │ ├── 098.png │ ├── 099.png │ ├── 100.png │ ├── 101.png │ ├── 102.png │ ├── 103.png │ ├── 104.png │ ├── 105.png │ ├── 106.png │ ├── 107.png │ ├── 108.png │ ├── 109.png │ ├── 110.png │ ├── 111.png │ ├── 112.png │ ├── 113.png │ ├── 114.png │ ├── 115.png │ ├── 116.png │ ├── 117.png │ ├── 118.png │ ├── 119.png │ ├── 120.png │ ├── 121.png │ ├── 122.png │ ├── 123.png │ ├── 124.png │ ├── 125.png │ ├── 126.png │ ├── 127.png │ ├── 128.png │ ├── 129.png │ ├── 130.png │ ├── 131.png │ ├── 132.png │ ├── 133.png │ ├── 134.png │ ├── 135.png │ ├── 136.png │ ├── 137.png │ ├── 138.png │ ├── 139.png │ ├── 140.png │ ├── 141.png │ ├── 142.png │ ├── 143.png │ ├── 144.png │ ├── 145.png │ ├── 146.png │ ├── 147.png │ ├── 148.png │ ├── 149.png │ ├── 150.png │ ├── 151.png │ ├── 152.png │ ├── 153.png │ ├── 154.png │ ├── 155.png │ ├── 156.png │ ├── 157.png │ ├── 158.png │ ├── 159.png │ ├── 160.png │ ├── 161.png │ ├── 162.png │ ├── 163.png │ ├── 164.png │ ├── 165.png │ ├── 166.png │ ├── 167.png │ ├── 168.png │ ├── 169.png │ ├── 170.png │ ├── 171.png │ ├── 172.png │ ├── 173.png │ ├── 174.png │ ├── 175.png │ ├── 176.png │ ├── 177.png │ ├── 178.png │ ├── 179.png │ ├── 180.png │ ├── 181.png │ ├── 182.png │ ├── 183.png │ ├── 184.png │ ├── 185.png │ ├── 186.png │ ├── 187.png │ ├── 188.png │ ├── 189.png │ ├── 190.png │ ├── 191.png │ ├── 192.png │ ├── 193.png │ ├── 194.png │ ├── 195.png │ ├── 196.png │ ├── 197.png │ ├── 198.png │ ├── 199.png │ ├── 200.png │ ├── 201.png │ ├── 202.png │ ├── 203.png │ ├── 204.png │ ├── 205.png │ ├── 206.png │ ├── 207.png │ ├── 208.png │ ├── 209.png │ ├── 210.png │ ├── 211.png │ ├── 212.png │ ├── 213.png │ ├── 214.png │ ├── 215.png │ ├── 216.png │ ├── 217.png │ ├── 218.png │ ├── 219.png │ ├── 220.png │ ├── 221.png │ ├── 222.png │ ├── 223.png │ ├── 224.png │ ├── 225.png │ ├── 226.png │ ├── 227.png │ ├── 228.png │ ├── 229.png │ ├── 230.png │ ├── 231.png │ ├── 232.png │ ├── 233.png │ ├── 234.png │ ├── 235.png │ ├── 236.png │ ├── 237.png │ ├── 238.png │ ├── 239.png │ ├── 240.png │ ├── 241.png │ ├── 242.png │ ├── 243.png │ ├── 244.png │ ├── 245.png │ ├── 246.png │ ├── 247.png │ ├── 248.png │ ├── 249.png │ ├── 250.png │ ├── 251.png │ ├── 252.png │ ├── 253.png │ ├── 254.png │ ├── 255.png │ ├── 256.png │ ├── 257.png │ ├── 258.png │ ├── 259.png │ ├── 260.png │ ├── 261.png │ ├── 262.png │ ├── 263.png │ ├── 264.png │ ├── 265.png │ ├── 266.png │ ├── 267.png │ ├── 268.png │ ├── 269.png │ ├── 270.png │ ├── 271.png │ ├── 272.png │ ├── 273.png │ ├── 274.png │ ├── 275.png │ ├── 276.png │ ├── 277.png │ ├── 278.png │ ├── 279.png │ ├── 280.png │ ├── 281.png │ ├── 282.png │ ├── 283.png │ ├── 284.png │ ├── 285.png │ ├── 286.png │ ├── 287.png │ ├── 288.png │ ├── 289.png │ ├── 290.png │ ├── 291.png │ ├── 292.png │ ├── 293.png │ ├── 294.png │ ├── 295.png │ ├── 296.png │ ├── 297.png │ ├── 298.png │ ├── 299.png │ └── test │ │ ├── 000.png │ │ ├── 001.png │ │ ├── 002.png │ │ ├── 003.png │ │ ├── 004.png │ │ ├── 005.png │ │ ├── 006.png │ │ ├── 007.png │ │ ├── 008.png │ │ ├── 009.png │ │ ├── 010.png │ │ ├── 011.png │ │ ├── 012.png │ │ ├── 013.png │ │ ├── 014.png │ │ ├── 015.png │ │ ├── 016.png │ │ ├── 017.png │ │ └── 018.png └── video2.avi ├── Chapter 09 ├── .ipynb_checkpoints │ ├── 05 - Training the GAN for CelebA-checkpoint.ipynb │ └── 06 - Using the trained model from CelebA-checkpoint.ipynb ├── 01 - Prepairing the lfwcrop Dataset.ipynb ├── 02 - Training the GAN Model.ipynb ├── 03 - Generating new faces.ipynb ├── 04 - Going to work with the CelebA Dataset.ipynb ├── 05 - Training the GAN for CelebA.ipynb ├── 06 - Using the trained model from CelebA.ipynb └── GeneratedModel.png ├── Chapter 10 ├── 01 - Training a stable MNIST GAN.ipynb └── New │ ├── generated_plot_epoch1.png │ ├── generated_plot_epoch2.png │ ├── generated_plot_epoch3.png │ ├── generated_plot_epoch4.png │ ├── generated_plot_epoch5.png │ └── generated_plot_epoch6.png ├── Chapter 11 ├── .ipynb_checkpoints │ └── Untitled-checkpoint.ipynb └── Untitled.ipynb ├── Chapter 12 ├── .ipynb_checkpoints │ ├── 01 - Links-checkpoint.ipynb │ ├── 02 - Calculating the Inception Score using numpy-checkpoint.ipynb │ └── 03 - Implementing Inception Score with Keras-checkpoint.ipynb ├── 01 - Links.ipynb ├── 02 - Calculating the Inception Score using numpy.ipynb └── 03 - Implementing Inception Score with Keras.ipynb ├── Chapter 13 ├── .ipynb_checkpoints │ ├── 01 - FID implementation using Numpy-checkpoint.ipynb │ └── 02 - FID Model on real datas-checkpoint.ipynb ├── 01 - FID implementation using Numpy.ipynb └── 02 - FID Model on real datas.ipynb └── Chapter 15 ├── .ipynb_checkpoints └── 01 - LSGAN Model Architechture-checkpoint.ipynb ├── 01 - LSGAN Model Architechture.ipynb ├── 02_Training_the_LSGAN_for_CelebA.ipynb └── 03 - Using the trained model from CelebA(LSGAN).ipynb /.gitignore: -------------------------------------------------------------------------------- 1 | *.h5 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