Deep Learning: Beginner's Guide to Learn the Realms of Deep Learning from A-Z

This book will help you to understand the realms of Deep Learning from A-Z. In today’s modern world, Deep Learning has taken over the reins of Machine Learning and Artificial Intelligence.

We are all familiar with the term “Deep Learning.” But have you ever wondered what it really is?

This book will cover all the major features of Deep Learning and how you can use it practically with the help of Python language. It has been designed as a guide to master Deep Learning.

You will learn about the basics of Deep Learning, its models, supervised and unsupervised learning, how to perform GUI testing with the help of Deep Learning, and installing Jupyter.

It also covers topics like neural networks, pattern recognition, and ANN. You will learn about predictive analysis in Python, Random forest model in Python, and common algorithms used in automation.

We also cover the Speech recognition mechanism using Deep Learning with practical examples like Markov models, MFCC Algorithm, and DTW based recognition.

Don’t know how to use Robot Framework with Python? Don’t worry. We will help you out. What about Python key points for Deep Learning? We got you covered.

If you are looking for a guide to implement Principal Component Analysis in Python, then this book is for you.

You will also learn about bulk image compression and front end GUI testing. It has been designed to prepare you to understand the word embedding in Python and linear regression modeling.

So what are you waiting for? It is your chance to become a master of Deep Learning. Click the BUY NOW button to get started.