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You're reading from  Generative Adversarial Networks Projects

Product typeBook
Published inJan 2019
Reading LevelIntermediate
PublisherPackt
ISBN-139781789136678
Edition1st Edition
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Kailash Ahirwar
Kailash Ahirwar
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Kailash Ahirwar

Kailash Ahirwar is a machine learning and deep learning enthusiast. He has worked in many areas of Artificial Intelligence (AI), ranging from natural language processing and computer vision to generative modeling using GANs. He is a co-founder and CTO of Mate Labs. He uses GANs to build different models, such as turning paintings into photos and controlling deep image synthesis with texture patches. He is super optimistic about AGI and believes that AI is going to be the workhorse of human evolution.
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A Keras implementation of an Age-cGAN

Like vanilla GANs, the implementation of cGANs is straightforward. Keras provides enough flexibility to code complex generative adversarial networks. In this section, we will implement the generator network, the discriminator network, and the encoder network used in cGANs. Let's start by implementing the encoder network.

Before starting to write the implementations, create a Python file called main.py and import the essential modules, as follows:

import math
import os
import time
from datetime import datetime

import matplotlib.pyplot as plt
import numpy as np
import tensorflow as tf
from keras import Input, Model
from keras.applications import InceptionResNetV2
from keras.callbacks import TensorBoard
from keras.layers import Conv2D, Flatten, Dense, BatchNormalization, Reshape, concatenate, LeakyReLU, Lambda, \
K, Conv2DTranspose, Activation...
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Generative Adversarial Networks Projects
Published in: Jan 2019Publisher: PacktISBN-13: 9781789136678

Author (1)

author image
Kailash Ahirwar

Kailash Ahirwar is a machine learning and deep learning enthusiast. He has worked in many areas of Artificial Intelligence (AI), ranging from natural language processing and computer vision to generative modeling using GANs. He is a co-founder and CTO of Mate Labs. He uses GANs to build different models, such as turning paintings into photos and controlling deep image synthesis with texture patches. He is super optimistic about AGI and believes that AI is going to be the workhorse of human evolution.
Read more about Kailash Ahirwar