Deep learning from scratch : building with Python from first principles /
Weidman, Seth,
Deep learning from scratch : building with Python from first principles / Seth Weidman. - First edition. - India: Shroff Publishers and Distributors Pvt.Ltd., 2024 - xiv, 235 pages : illustrations ; 24 cm
Includes bibliographical references and index.
Foundations -- Fundamentals -- Deep learning from scratch -- Extensions -- Convolutional neural networks -- Recurrent neural networks -- RyTorch.
With the resurgence of neural networks in the 2010s, understanding deep learning has become essential for machine learning practitioners and even many software engineers. This practical book provides a thorough introduction for data scientists and software engineers with previous exposure to machine learning. You'll start with deep learning basics and move quickly to the details of important advanced architectures, implementing everything from scratch along the way. Author Seth Weidman shows you how neural networks function using a first principles approach. You'll learn how to apply multilayer neural networks, convolutional neural networks, and recurrent neural networks from the ground up. With a detailed understanding of how these networks work mathematically, computationally, and conceptually, you'll be set up for success on future deep learning projects.
9789352139026
Machine learning.
Neural networks (Computer science)
Artificial intelligence.
Python (Computer program language)
Artificial intelligence.
Machine learning.
Neural networks (Computer science)
Python (Computer program language)
006.32 / W417d
Deep learning from scratch : building with Python from first principles / Seth Weidman. - First edition. - India: Shroff Publishers and Distributors Pvt.Ltd., 2024 - xiv, 235 pages : illustrations ; 24 cm
Includes bibliographical references and index.
Foundations -- Fundamentals -- Deep learning from scratch -- Extensions -- Convolutional neural networks -- Recurrent neural networks -- RyTorch.
With the resurgence of neural networks in the 2010s, understanding deep learning has become essential for machine learning practitioners and even many software engineers. This practical book provides a thorough introduction for data scientists and software engineers with previous exposure to machine learning. You'll start with deep learning basics and move quickly to the details of important advanced architectures, implementing everything from scratch along the way. Author Seth Weidman shows you how neural networks function using a first principles approach. You'll learn how to apply multilayer neural networks, convolutional neural networks, and recurrent neural networks from the ground up. With a detailed understanding of how these networks work mathematically, computationally, and conceptually, you'll be set up for success on future deep learning projects.
9789352139026
Machine learning.
Neural networks (Computer science)
Artificial intelligence.
Python (Computer program language)
Artificial intelligence.
Machine learning.
Neural networks (Computer science)
Python (Computer program language)
006.32 / W417d