Deep Learning for Complete Beginners: A Python-Based Introduction is for complete beginners in machine learning. It introduces fundamental concepts such as classes and labels, building a dataset, and what a model is and does before presenting classic machine learning models, neural networks, and modern convolutional neural networks. Experiments in Python - working with leading open-source toolkits and standard datasets - give the reader hands-on experience with each model and help them build intuition about how to transfer the examples in the book to their own projects.
Product details
- Paperback | 450 pages
- 177 x 234 x 33.02mm | 879.97g
- 09 Mar 2021
- No Starch Press,US
- San Francisco, United States
- English
- 1718500742
- 9781718500747
- 497,789
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