Introduction to Deep Learning and Neural Networks with PythonTM is popular PDF and ePub book, written by Ahmed Fawzy Gad in 2020-11-25, it is a fantastic choice for those who relish reading online the Medical genre. Let's immerse ourselves in this engaging Medical book by exploring the summary and details provided below. Remember, Introduction to Deep Learning and Neural Networks with PythonTM can be Read Online from any device for your convenience.
Introduction to Deep Learning and Neural Networks with PythonTM Book PDF Summary
Introduction to Deep Learning and Neural Networks with PythonTM: A Practical Guide is an intensive step-by-step guide for neuroscientists to fully understand, practice, and build neural networks. Providing math and PythonTM code examples to clarify neural network calculations, by book’s end readers will fully understand how neural networks work starting from the simplest model Y=X and building from scratch. Details and explanations are provided on how a generic gradient descent algorithm works based on mathematical and PythonTM examples, teaching you how to use the gradient descent algorithm to manually perform all calculations in both the forward and backward passes of training a neural network. Examines the practical side of deep learning and neural networks Provides a problem-based approach to building artificial neural networks using real data Describes PythonTM functions and features for neuroscientists Uses a careful tutorial approach to describe implementation of neural networks in PythonTM Features math and code examples (via companion website) with helpful instructions for easy implementation
Detail Book of Introduction to Deep Learning and Neural Networks with PythonTM PDF
- Author : Ahmed Fawzy Gad
- Release : 25 November 2020
- Publisher : Academic Press
- ISBN : 9780323909341
- Genre : Medical
- Total Page : 302 pages
- Language : English
- PDF File Size : 10,5 Mb
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