05-24-2025, 11:47 AM
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Quote:π Deep Learning with Python π has taught thousands how to put the full capabilities of deep learning into action. This extensively revised second edition introduces deep learning using Python and Keras and is loaded with insights for both novice and experienced machine learning practitioners. You'll learn practical techniques that are easy to apply in the real world and important theory for perfecting neural networks.
π About the technology
Recent innovations in deep learning unlock exciting new software capabilities, like automated language translation, image recognition, and more. Deep learning is quickly becoming essential knowledge for every software developer, and modern tools like Keras and TensorFlow put it within your reach - even if you have no background in mathematics or data science. This book shows you how to get started.
π About the book
Deep Learning with Python (Second Edition) introduces the field of deep learning using Python and the powerful Keras library. In this revised and expanded new edition, Keras creator FranΓ§ois Chollet offers insights for both novice and experienced machine learning practitioners. As you move through this book, you'll build your understanding through intuitive explanations and clear examples. You'll quickly pick up the skills you need to start developing deep learning applications.
What's inside:
βDeep learning from first principles
βImage classification and image segmentation
βTime series forecasting
βText classification and machine translation
βText generation, neural style transfer, and image generation
π About the audience
For listeners with intermediate Python skills. No previous experience with Keras, TensorFlow, or machine learning is required.
π About the author
FranΓ§ois Chollet is a software engineer at Google and creator of the Keras deep learning library.
π Contents of Download:
π Kneusel R Practical Deep Learning A Python Based Introduction 2ed 2025.pdf (Ronald T. Kneusel) (2022) (17.61 MB)
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βοΈ Kneusel R Practical Deep Learning A Python Based Introduction 2ed 2025 β (40.15 MB)
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