
Next Level Deep Machine Learning
Description
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We live in a digital world, and AI is an important aspect of our lives. Many applications and machines help us to complete our daily tasks. Do you ever wonder how these machines are getting their intelligence? This happens due to the concept of machine learning and deep learning. In this book, you will learn how important deep learning is for our future machines, and we will provide tips and tricks to understand and learn the architecture presented in the book.
The book Next Level Deep Machine Learning contains all the beginner and advanced knowledge related to deep learning. You will find the basics of deep learning and algorithms and concepts that are vital in this department. We have also provided information about the neural networks and complexities of the machine learning and AI world in this book.
Some key takeaway from the book is:
· Feed-forward networks
· Neural networks
· Deep learning regulations and algorithms
This book is designed for both beginner and advanced readers and will provide you with the best knowledge related to deep learning and machine learning.
More details
Content
- Intro
- Introduction
- Chapter 1
- Explaining Supervised and Unsupervised Learning Algorithms
- Chapter 2
- How to Design a Machine Learning Algorithm
- Chapter 3
- Basic of Deep Feedforward Networks
- Chapter 4
- Machine Learning for the Future
- Chapter 5
- Regulations for Deep Learning
- Chapter 6
- Optimization of Deep Models
- Chapter 7
- Validating Deep Machine Learning
- Chapter 8
- Preprocess the Machine Data
- Chapter 9
- Complex Neural Networking
- Chapter 10
- Decision Tress and Predictors for Learning
- Chapter 11
- Improving Deep Learning Models
- Chapter 12
- Improving Deep Learning Models 2
- Conclusion
System requirements
File format: ePUB
Copy protection: Adobe-DRM (Digital Rights Management)
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