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Deep Learning from the Basics: Python and Deep Learning - Paperback NEW Koki Sai
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eBay-objectnummer:394717041694
Specificaties
- Objectstaat
- Weight
- 75
- Subjects
- N/A
- Pages
- 316 Pages
- Size
- H:93mm, W:
- Topic
- Unknown
- Book Title
- Deep Learning from the Basics: Python and Deep Learning: Theory
- ISBN
- 9781800206137
- Publication Year
- 2021
- Type
- Textbook
- Format
- Paperback
- Language
- English
- Publication Name
- Deep Learning from the Basics: Python and Deep Learning: Theory and Implementation
- Item Height
- 93 mm
- Publisher
- Packt Publishing
- Subject
- Computer Science
- Item Width
- 75 mm
- Number of Pages
- 316 Pages
Over dit product
Product Information
Discover ways to implement various deep learning algorithms by leveraging Python and other technologies Key Features Learn deep learning models through several activities Begin with simple machine learning problems, and finish by building a complex system of your own Teach your machines to see by mastering the technologies required for image recognition Book DescriptionDeep 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. What you will learn Use Python with minimum external sources to implement deep learning programs Study the various deep learning and neural network theories Learn how to determine learning coefficients and the initial values of weights Implement trends such as Batch Normalization, Dropout, and Adam Explore applications like automatic driving, image generation, and reinforcement learning Who this book is forDeep 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.
Product Identifiers
Publisher
Packt Publishing
ISBN-13
9781800206137
eBay Product ID (ePID)
25049049319
Product Key Features
Publication Year
2021
Subject
Computer Science
Number of Pages
316 Pages
Language
English
Publication Name
Deep Learning from the Basics: Python and Deep Learning: Theory and Implementation
Type
Textbook
Format
Paperback
Dimensions
Item Height
93 mm
Item Width
75 mm
Additional Product Features
Country/Region of Manufacture
United Kingdom
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