Deep Learning Demystified
Machine learning and deep learning with Python is one of the hottest topics going around right now but it can be difficult to understand where to begin. If you already have some coding experience then finding a book that strikes the right balance between concepts and practical examples can be difficult.
Deep Learning With Python is your ultimate resource to master ML algorithms using Python's extensive libraries. Travis Booth, the author of Python Data Science, Linux for Beginners and Python Coding will take you on a deep dive into the world of DL using Python from A to Z.
Whether you've had exposure to Python programming previously or if you're searching for a resource that is focused on teaching Python for beginners, this is the book for you.
Here are some of the topics you will learn about:
- DL basics- Comparing learning models, regression analysis and much more.
- The ins and outs of working with DNNs, RNNs and ANNs
- Using PyTorch for deep learning
- Natural language processing and data manipulation
- Sentiment analysis using ML algorithms
- Working with LSTMs
and much more!
Join all the people who have integrated deep learning into their skill set. Learn one of the most sought after and relevant skills employers are looking for!
Click buy now!