• Sat. Feb 8th, 2025

Fundametals of Pythonic Deep Learning by Creating Neural Networks

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  • Fundametals of Pythonic Deep Learning by Creating Neural Networks

ISBN:  978-81-971115-8-7

Authors:  Mr. Royal Praveen Dsouza,  Mr. Suman Antony Lasrado,   Ms. Praveena. P

Mr. A. Reddyprasad

Product Price ₹950.00
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Book Description

This book is designed to be your guide into the fascinating world of deep learning, providing a hands-on approach to understanding neural networks using Python.

In recent years, deep learning has revolutionized various fields, including computer vision, natural language processing, and robotics. Its ability to learn intricate patterns and representations from vast amounts of data has led to breakthroughs in areas previously thought impossible. Python, with its simplicity and versatility, has emerged as the language of choice for implementing deep learning models, thanks to powerful libraries like TensorFlow, Keras, and PyTorch.

This book is structured to provide a solid foundation in deep learning principles while emphasizing practical implementation. Whether you’re a beginner eager to explore the basics or an experienced practitioner seeking to deepen your understanding, you’ll find valuable insights within these pages.

Key Features of This Book:

  1. Hands-On Approach: Each concept is accompanied by practical examples and exercises, allowing you to apply what you learn immediately.
  2. Pythonic Implementation: We focus on leveraging Python’s strengths to build and train neural networks efficiently and effectively.
  3. Step-by-Step Guidance: Complex topics are broken down into manageable steps, ensuring clarity and comprehension.
  4. Real-World Applications: Explore how deep learning is used in various domains through real-world case studies and projects.
  5. Comprehensive Coverage: From basic neural network architectures to advanced techniques like convolutional and recurrent networks, we cover a wide range of topics to give you a comprehensive understanding of the subject.

Who Should Read This Book:                                                               

  • Students: Whether you’re studying computer science, engineering, or a related field, this book provides a solid foundation in deep learning
  • Practitioners: If you’re already working in the field of machine learning or data science and want to expand your skill set to include deep learning, this book is for you.
  • Enthusiasts: If you’re simply curious about artificial intelligence and want to explore the exciting world of neural networks, this book will serve as an excellent starting point.

 

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