Are you looking for a gradual introduction to the complex math inherent in machine learning coding? Have you found all books on the topic tough to understand and too focused on advanced topics instead?

Are you someone who knows the basics and is ready to take that next step in the deep learning knowledge?

Deep Learning With Python: A Comprehensive Guide Beyond the Basics is a practical and no nonsense look at self learning algorithms. This book will teach you how to create advanced ML algorithms while keeping the complexity to a minimum.

Inside you will learn:

• How to really use PyTorch for deep learning.
• Scikit-Learn for regression implementation- and what not to do.
• How to evaluate models in python- which method works the best and in which situations?
• A look at natural language processing with Python and TensorFlow.
• The fashion-MNIST data set with Keras and Deep Learning.
• The most powerful RNN to process sequential data.

and so much more!

Take the next step in building your knowledge of neural networks and machine learning by reading Deep Learning With Python and join the people who have implemented it successfully in their careers.

Explore the book by taking a look inside and check out how others have benefited by reading this book.

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