Intended as "A beginner's guide to getting up and running with deep learning from scratch using Python", this book is for those who already have the basic mathematical and programming knowledge required to get started. Dr. Pablo Rivas begins with a basic overview of machine learning, setting up popular Python frameworks, and preparing data by cleaning and preprocessing it for deep learning, before going on to explore neural networks. Later sections cover hands-on training single and multiple layers of neurons, as well as popular neural network architectures such as CNNs, RNNs, AEs, VAEs, and GANs with the help of simple examples.

<ASIN:1838640851>

Author: Dr. Pablo Rivas
Publisher: Packt Publishing
Date: September 2020
Pages: 432
ISBN: 978-1838640859
Print: 1838640851
Kindle: B086D29S1K
Audience: People wanting to learn about deep learning
Level: Intermediate
Category: Artificial Intelligence 

• Implement RNNs and Long short-term memory for image classification and Natural Language Processing tasks
• Explore the role of CNNs in computer vision and signal processing
• Understand the ethical implications of deep learning modeling
• Understand the mathematical terminology associated with deep learning
• Code a GAN and a VAE to generate images from a learned latent space
• Implement visualization techniques to compare AEs and VAEs

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