Learn From Scratch Backpropagation Neural Networks Using Python Gui Mariadb
Backpropagation neural networks are a powerful type of artificial intelligence that can be used to solve a wide variety of problems. They are particularly well-suited for tasks that involve pattern recognition, such as image classification and speech recognition.
4.8 out of 5
| Language | : | English |
| File size | : | 63051 KB |
| Text-to-Speech | : | Enabled |
| Screen Reader | : | Supported |
| Enhanced typesetting | : | Enabled |
| Print length | : | 862 pages |
| Lending | : | Enabled |
| X-Ray for textbooks | : | Enabled |
| Paperback | : | 328 pages |
| Item Weight | : | 1.24 pounds |
| Dimensions | : | 6 x 0.83 x 9 inches |
In this book, you will learn how to build and train backpropagation neural networks from scratch using Python. You will also learn how to use a graphical user interface (GUI) to make it easier to develop and debug your networks. Finally, you will learn how to use MariaDB to store and retrieve data from your networks.
Prerequisites
Before you start reading this book, you should have a basic understanding of Python. You should also be familiar with the basics of linear algebra and calculus.
What You Will Learn
In this book, you will learn:
* How to build a backpropagation neural network from scratch * How to train a backpropagation neural network * How to use a GUI to develop and debug your networks * How to use MariaDB to store and retrieve data from your networks
Who This Book Is For
This book is for anyone who wants to learn how to build and train backpropagation neural networks using Python. It is particularly well-suited for beginners who have no prior experience with neural networks.
Table of Contents
2. Building a Backpropagation Neural Network 3. Training a Backpropagation Neural Network 4. Using a GUI to Develop and Debug Your Networks 5. Using MariaDB to Store and Retrieve Data from Your Networks 6.
Backpropagation neural networks are a powerful tool that can be used to solve a wide variety of problems. This book will teach you how to build and train backpropagation neural networks from scratch using Python. You will also learn how to use a GUI to make it easier to develop and debug your networks. Finally, you will learn how to use MariaDB to store and retrieve data from your networks.
I hope you enjoy this book and find it helpful!
4.8 out of 5
| Language | : | English |
| File size | : | 63051 KB |
| Text-to-Speech | : | Enabled |
| Screen Reader | : | Supported |
| Enhanced typesetting | : | Enabled |
| Print length | : | 862 pages |
| Lending | : | Enabled |
| X-Ray for textbooks | : | Enabled |
| Paperback | : | 328 pages |
| Item Weight | : | 1.24 pounds |
| Dimensions | : | 6 x 0.83 x 9 inches |
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4.8 out of 5
| Language | : | English |
| File size | : | 63051 KB |
| Text-to-Speech | : | Enabled |
| Screen Reader | : | Supported |
| Enhanced typesetting | : | Enabled |
| Print length | : | 862 pages |
| Lending | : | Enabled |
| X-Ray for textbooks | : | Enabled |
| Paperback | : | 328 pages |
| Item Weight | : | 1.24 pounds |
| Dimensions | : | 6 x 0.83 x 9 inches |
