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Hands-On Neural Networks with Keras

Posted By: hill0
Hands-On Neural Networks with Keras

Hands-On Neural Networks with Keras:
Design and create neural networks using deep learning and artificial intelligence principles
by Niloy Purkait

English | 2019 | ISBN: 1789536081 | 462 Pages | PDF,MOBI (True) | 49 MB

Hands-On Neural Networks with Keras will start with teaching you about the core concepts of neural networks. You will delve into combining different neural network models and work with real-world use cases, including computer vision, natural language understanding, synthetic data generation, and many more. Moving on, you will become well versed with convolutional neural networks (CNNs), recurrent neural networks (RNNs), long short-term memory (LSTM) networks, autoencoders, and generative adversarial networks (GANs) using real-world training datasets. We will examine how to use CNNs for image recognition, how to use reinforcement learning agents, and many more. We will dive into the specific architectures of various networks and then implement each of them in a hands-on manner using industry-grade frameworks.