Advanced-Deep-Learning-with-Keras

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Advanced Deep Learning with Keras, published by Packt

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- cnn-mnist-1.4.1.py
- cnn-model-1.3.2.py
- linear-model-1.2.1.py
- mlp-mnist-1.3.2.py
- mnist-sampler-1.3.1.py
- plot-linear-1.1.1.py
- rnn-mnist-1.5.1.py
- rnn-model-1.3.1.py
- sgd-1.5.3.py
- sgd-2-min-1.5.4.py
- - car.gif
- - actor_weights-a2c.h5
  - actor_weights-reinforce-baseline.h5
  - encoder_weights-reinforce-baseline.h5
  - value_weights-a2c.h5
  - value_weights-reinforce-baseline.h5
- - car.mp4
- actor_weights.h5
- encoder_weights.h5
- policygradient-car-10.1.1.py
- value_weights.h5
- - Figure11.13.1.detection_unnormalized_offsets.png
  - Figure11.13.2.detection_smooth_l1.png
  - Figure11.13.3.detection_normalized.png
  - Figure11.13.4.detection_normalized_smooth_l1.png
  - Figure11.13.5.detection_normalized_smooth_l1_focal.png
- - json2csv.py
  - resize_json.py
  - video_capture.py
- - ResNet56v2-4layer-extra_anchors-drinks-200.h5
  - ResNet56v2-4layer-norm-extra_anchors-drinks-200.h5
  - ResNet56v2-4layer-norm-improved_loss-extra_anchors-drinks-200.h5
  - ResNet56v2-4layer-norm-smooth_l1-extra_anchors-drinks-200.h5
  - ResNet56v2-4layer-smooth_l1-extra_anchors-drinks-200.h5
- boxes.py
- common_utils.py
- config.py
- data_generator.py
- label_utils.py
- layer_utils.py
- loss.py
- model.py
- model_utils.py
- README.md
- resnet.py
- ssd-11.6.1.py
- video.py
- video_demo.py
- - 0010019-bg.png
  - 0010019-input.png
  - 0010019-instance.png
  - 0010019-panoptic.png
  - 0010019-semantic.png
  - network_architecture.png
  - pixelwise_classifier.png
  - sample_ground_truth.png
  - sample_input.png
  - sample_pixel_class.png
  - sample_prediction.png
- - generate_gt_segmentation.py
  - plot_history.py
- - ResNet56v2-3layer-drinks-best-iou.h5
- data_generator.py
- fcn-12.3.1.py
- model.py
- model_utils.py
- README.md
- resnet.py
- - mine.png
- - head1-best.h5
  - head2-best.h5
  - head3-best.h5
  - head4-best.h5
  - head5-best.h5
- data_generator.py
- iic-13.5.1.py
- mine-13.8.1.py
- utils.py
- vgg.py
- cnn-functional-2.1.1.py
- cnn-y-network-2.1.2.py
- densenet-cifar10-2.4.1.py
- resnet-cifar10-2.2.1.py
- sampler-cifar10-2.1.0.py
- - corrupted_and_denoised.png
  - corrupted_and_denoised_std_1.png
  - corrupted_and_denoised_std_pt75.png
  - dae_in.png
  - dae_out.png
  - digit_latent_codes.png
  - gray_color_mayon.png
  - gray_to_color.png
  - latent_codes.png
  - predicted_color_vs_gt.png
- - colorized.png
  - colorized_images.png
  - corrupted_and_denoised.png
  - test_color.png
  - test_gray.png
- autoencoder-2dim-mnist-3.2.2.py
- autoencoder-mnist-3.2.1.py
- classifier-autoencoder-mnist-3.3.1.py
- colorization-autoencoder-cifar10-3.4.1.py
- denoising-autoencoder-mnist-3.3.1.py
- README.md
- - cgan_mnist.gif
  - dcgan_mnist.gif
- cgan-mnist-4.3.1.py
- cgan_mnist.h5
- dcgan-mnist-4.2.1.py
- dcgan_mnist.h5
- - acgan_mnist.gif
  - lsgan_mnist.gif
  - wgan_mnist.gif
- acgan-mnist-5.3.1.py
- acgan_mnist.h5
- lsgan-mnist-5.2.1.py
- lsgan_mnist.h5
- plot-parallel-dist-5.1.1.py
- wgan-mnist-5.1.2.py
- wgan_mnist.h5
- - infogan_mnist.gif
  - stackedgan_mnist.gif
- infogan-mnist-6.1.1.py
- infogan_mnist.h5
- stackedgan-mnist-6.2.1.py
- stackedgan_mnist-gen0.h5
- stackedgan_mnist-gen1.h5
- - cifar10_colorization.gif
  - cifar10_colorized.png
  - MNIST2SVHN.png
  - MNIST_SVHN_samples.png
  - MNISTSVHN_cycle.png
  - SVHN2MNIST.png
  - SVHNMNIST_cycle.png
- cifar10-sampler-7.1.2.py
- cifar10_utils.py
- cyclegan-7.1.1.py
- cyclegan_cifar10-g_source.h5
- cyclegan_cifar10-g_target.h5
- cyclegan_mnist_svhn-g_source.h5
- cyclegan_mnist_svhn-g_target.h5
- mnist_svhn_utils.py
- other_utils.py
- README.md
- svhn-sampler-7.1.3.py
- - beta-cvae_cnn_mnist.tf.data-00000-of-00002
  - beta-cvae_cnn_mnist.tf.data-00001-of-00002
  - beta-cvae_cnn_mnist.tf.index
  - checkpoint
- - checkpoint
  - cvae_cnn_mnist.tf.data-00000-of-00002
  - cvae_cnn_mnist.tf.data-00001-of-00002
  - cvae_cnn_mnist.tf.index
- - beta10_cvae.png
  - beta9_cvae.png
  - beta_cvae.png
  - cvae_cnn.png
  - cvae_mean.png
  - digits_over_latent.png
  - digits_over_latent_mlp.png
  - vae_mean.png
  - vae_mean_cnn.png
  - vae_mean_mlp.png
- - checkpoint
  - vae_cnn_mnist.tf.data-00000-of-00002
  - vae_cnn_mnist.tf.data-00001-of-00002
  - vae_cnn_mnist.tf.index
- - checkpoint
  - vae_mlp_mnist.tf.data-00000-of-00002
  - vae_mlp_mnist.tf.data-00001-of-00002
  - vae_mlp_mnist.tf.index
- cvae-cnn-mnist-8.2.1.py
- README.md
- vae-cnn-mnist-8.1.2.py
- vae-mlp-mnist-8.1.1.py
- - cartpole.gif
- - cartpole.mp4
- dqn-cartpole-9.6.1.py
- q-frozenlake-9.5.1.py
- q-frozenlake-slippery.npy
- q-frozenlake.npy
- q-learning-9.3.1.py
- __init__.py
- common_utils.py
- gan.py
LICENSE
README.md
requirements.txt

# Installation Guide

1. Get the code

git clone https://github.com/PacktPublishing/Advanced-Deep-Learning-with-Keras

Downloads the entire project code from GitHub to your computer.

cd Advanced-Deep-Learning-with-Keras

Moves into the project folder you just downloaded.

2. Python

Easy Recommended

Prerequisites

Git Needed to download the project code from GitHub.
Python 3 On Windows, be sure to check 'Add Python to PATH' during installation.

pip uninstall tensorflow-gpu

Type this command into your terminal and run it.

✅ If it runs without errors and prints output in the terminal, it worked.

Pulled directly from this repo's README.