Deep Learning for Beginners is an ebook authored by Dr. Pablo Rivas and published by Packt normally sells for $27.99. This ebook is now available for free but for a limited time period or until August 4, 2021.
Deep Learning for Beginners is a beginner’s guide to getting up and running with deep learning from scratch using Python.
Interested users can visit this giveaway page, enter either your email address or use your Linkedin credentials to grab the ebook.
About Deep Learning for Beginners eBook:
With information on the web exponentially increasing, it has become more difficult than ever to navigate through everything to find reliable content that will help you get started with deep learning.
This book is for aspiring data scientists and deep learning engineers who want to get started with the absolute fundamentals of deep learning and neural networks. Now, about requirements:
- No prior exposure to deep learning or machine learning is necessary, but it would be a plus.
- Some familiarity with linear algebra and Python programming is all you need to get started.
The ebook begins with a basic overview of machine learning, guiding you through setting up popular Python frameworks.
You will also understand how to prepare data by cleaning and preprocessing it for deep learning, and gradually go on to explore neural networks.
A dedicated section will give you insights into the working of neural networks by helping you get hands-on with training single and multiple layers of neurons.
Later, you will cover popular neural network architectures such as CNNs, RNNs, AEs, VAEs, and GANs with the help of simple examples, and learn how to build models from scratch.
At the end of each chapter, you will find a question and answer section to help you test what you’ve learned through the course of the book.
By the end of this book, you’ll be well-versed with deep learning concepts and have the knowledge you need to use specific algorithms with various tools for different tasks