Deep Learning by S. Sridhar (.ePUB)
File Size: 30.3 MB
Deep Learning by S. Sridhar, D. Narashiman
Requirements: .ePUB reader, 30.3 MB
Overview: Deep Learning is designed as a textbook for undergraduate and postgraduate students, providing a strong foundation in Deep Learning concepts. The book begins with fundamental topics such as Artificial Intelligence (AI), Machine Learning (ML), natural language processing (NLP), image processing, and computer vision, which are essential for understanding Deep Learning (DL) technologies. Core Deep Learning concepts, including neural networks, activation functions, loss functions, optimization, and regularization, are explored in depth. Additionally, the book introduces data fundamentals, ensuring a complete learning experience. The book includes a variety of pedagogical features such as a summary, glossary, conceptual questions, and numerical problems to help the readers understand the concept of Deep Learning. The crosswords and jumbled words are given to make learning fun and give a thorough review of the fundamentals of Deep Learning. The appendices provide details of the Anaconda environment and Keras. Keras with Python is a popular environment for implementing Deep Learning algorithms. An online lab manual of Keras is provided to lab experiments for Deep Learning.
Genre: Non-Fiction > Tech & Devices
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