# Snippet from the repository (Simplified) def make_generator(): model = Sequential() model.add(Dense(4*4*1024, input_shape=(100,))) model.add(Reshape((4,4,1024))) model.add(Conv2DTranspose(512, (5,5), strides=(2,2), padding='same')) model.add(BatchNormalization()) model.add(LeakyReLU(alpha=0.2)) # ... more layers to upscale to 64x64x3 return model
: Manning offers a "LiveBook" format where you can read portions of the text online for free to evaluate the content. gans in action pdf github
: Available through Manning Publications or Amazon . : The original code is built using Keras and TensorFlow
: The original code is built using Keras and TensorFlow . Key Features : gans in action pdf github
The book is structured into three parts that take the reader from foundational concepts to practical applications: www.perlego.com Part 1: Introduction
Since the official repository was written a few years ago, the deep learning landscape has changed (PyTorch dominance, TensorFlow 2.x, JAX). When searching for "gans in action pdf github" , you should also look for community forks .
