Deep Learning With Python 2nd Edition by Francois Chollet (Author)
- Publisher: COMPUTER SCIENCE
- Availability: In Stock
- SKU: 46810
- Number of Pages: 504
Rs.1,090.00
Rs.1,395.00
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"Deep Learning With Python 2nd Edition" by Francois Chollet is a comprehensive guide that delves into the intricacies of deep learning using the Python programming language. This second edition expands upon the foundational concepts introduced in the first edition, providing readers with updated and advanced techniques. Chollet, the creator of the Keras library, combines practical examples with theoretical insights to equip readers with the tools needed to build and implement deep learning models effectively. The book covers a wide range of topics, from neural network architectures to techniques for training and optimizing models, making it a valuable resource for both beginners and experienced practitioners.
In this edition, Chollet emphasizes hands-on practice, guiding readers through the process of developing deep learning applications from scratch. The book includes numerous code examples and exercises designed to reinforce learning and build proficiency in deep learning. Additionally, it addresses recent advancements in the field, such as transfer learning, generative models, and the use of deep learning in natural language processing and computer vision. By the end of the book, readers will have a solid understanding of how to apply deep learning techniques to real-world problems, leveraging Python and Keras to achieve their goals.
Key Points:
- Comprehensive guide to deep learning with Python.
- Covers foundational and advanced techniques.
- Written by the creator of Keras, Francois Chollet.
- Emphasis on hands-on practice and practical examples.
- Updated content on transfer learning, generative models, and more.
- Suitable for both beginners and experienced practitioners.
- Includes numerous code examples and exercises.
- Focus on real-world applications in NLP and computer vision.
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Writer ✤ Iqra Riaz-Ud-Din
Publishers ✤ Jahangir's World Times , JWT
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