You might also like

More about Deep Learning from the Basics

• Book details
• Synopsis
• Trending among others

You get 90 loyalty points

Book synopsis

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.

Book details

Book category Books in English Computing & information technology Computer programming / software development Programming & scripting languages: general

• Full title: Deep Learning from the Basics
• Subtitle: Python and Deep Learning: Theory and Implementation
• Author: Koki Saitoh
• Language: English
• Binding: Paperback
• Number of pages: 316
• EAN: 9781800206137
• ISBN: 1800206135
• ID: 35481965
• Publisher: Packt Publishing Limited
• Weight: 593 g
• Dimensions: 235 × 191 × 17 mm
• Date of publishing: 08. March 2021

---

---

---