Deep Learning from the Basics: Python and Deep Learning: Theory and Implementation
Koki Saitoh
Sold by Chiron Media, Wallingford, United Kingdom
AbeBooks Seller since 2 August 2010
New - Soft cover
Condition: New
Quantity: 10 available
Add to basketSold by Chiron Media, Wallingford, United Kingdom
AbeBooks Seller since 2 August 2010
Condition: New
Quantity: 10 available
Add to basketDiscover ways to implement various deep learning algorithms by leveraging Python and other technologies
Deep learning is rapidly becoming the most preferred way of solving data problems. This is thanks, in part, to its huge variety of mathematical algorithms and their ability to find patterns that are otherwise invisible to us.
Deep Learning from the Basics begins with a fast-paced introduction to deep learning with Python, its definition, characteristics, and applications. You’ll learn how to use the Python interpreter and the script files in your applications, and utilize NumPy and Matplotlib in your deep learning models. As you progress through the book, you’ll discover backpropagation―an efficient way to calculate the gradients of weight parameters―and study multilayer perceptrons and their limitations, before, finally, implementing a three-layer neural network and calculating multidimensional arrays.
By the end of the book, you’ll have the knowledge to apply the relevant technologies in deep learning.
Deep Learning from the Basics is designed for data scientists, data analysts, and developers who want to use deep learning techniques to develop efficient solutions. This book is ideal for those who want a deeper understanding as well as an overview of the technologies. Some working knowledge of Python is a must. Knowledge of NumPy and pandas will be beneficial, but not essential.
Koki Saitoh was born in Tsushima, Nagasaki in 1984. He graduated from the engineering department of the Tokyo Institute of Technology and completed a master’s course at the Graduate School of Interdisciplinary Information Studies at the University of Tokyo. Currently, he conducts research and development in computer vision and machine learning. He has authored Python 3 in Practice, The Elements of Computing Systems, and Building Machine Learning Systems with Python, translations of which are published by O’Reilly, Japan.
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