Deep Learning with Python

2,000.00 Original price was: ₹2,000.00.950.00Current price is: ₹950.00.
  • ASIN ‏ : ‎ 1617294438
  • Publisher ‏ : ‎ Manning; First Edition (22 December 2017)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 384 pages
  • ISBN-10 ‏ : ‎ 9781617294433
  • ISBN-13 ‏ : ‎ 978-1617294433
SKU: 9781617294433 Categories: , ,

Deep Learning with Python

Original price was: ₹2,000.00.Current price is: ₹950.00.

Deep Learning Adaptive Computation and Machine Learning series

Original price was: ₹4,200.00.Current price is: ₹1,600.00.
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  • Deep Learning with Python” emerges as the quintessential guide for enthusiasts, students, and professionals delving into the fascinating realm of artificial intelligence. Authored by renowned data scientist François Chollet, this book offers a comprehensive and practical approach to mastering deep learning concepts using the Python programming language. At, we advocate for “Deep Learning with Python” as the must-have resource for anyone seeking to unlock the potential of this transformative technology.Why should you consider purchasing “”? Firstly, it provides a thorough understanding of deep learning principles, techniques, and applications, making it suitable for both beginners and experienced practitioners. With a focus on practical implementation and real-world examples, the book equips readers with the skills and knowledge needed to tackle complex problems in areas such as image recognition, natural language processing, and predictive analytics.Furthermore, “Deep Learning with Python” leverages the versatility and power of the Python programming language, making it accessible to a wide audience of developers and data scientists. Python’s simplicity, flexibility, and extensive libraries, such as TensorFlow and Keras, streamline the implementation of deep learning models, enabling rapid prototyping and experimentation.

    Moreover, “Deep Learning with Python” fosters a hands-on learning experience through its interactive exercises, code samples, and projects. By working through practical examples and building real-world applications, readers gain invaluable insights into the inner workings of deep learning algorithms and develop the skills needed to tackle their own projects confidently.

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