Name: Deep Learning for Non-Majors
Brand: LIBRAIRIE COREENNE
SKU: 154482
Price: 26.00 EUR
Availability: InStock

Deep Learning for Non-Majors

€26,00

Deep Learning for Non-Majors

Description

Book Introduction

Deep learning? Machine learning? What if you're a non-major who doesn't even know the first thing about coding?
Pay attention to this book!

『Deep Learning for Non-Majors: Understanding with Pictures』 by Jun-ho Yoon, an AI computer vision engineer with a Korean language background, has been published as a book.
"Deep Learning for Non-Majors," serialized on the author's blog, is written in a very user-friendly manner that even non-majors can easily understand.
This book, a compilation of the author's blog series, includes additional content not found on the blog, and also includes Q&A on employment and career paths for non-majors that the author received while writing the series.
If you are new to math and coding, I am confident that this book will help you grasp the concepts of deep learning.

You can preview some of the book's contents.
Preview

index

Part 1.
Looking at the big picture

1.
So what is 'learning'? (1)
2.
So what is 'learning'? (2)
3.
Artificial intelligence/machine learning/deep learning
4.
Regression and classification, supervised and unsupervised learning

Part 2.
Mastering Key Concepts

1.
Linear Regression - Predicting House Prices
2.
Linear Regression - Errors and Costs
3.
Neural Networks Fundamentals - Why Nonlinear Transformations Are Needed
(Appendix: Python Practice) Sigmoid and Relu Implementation
4.
Neural Network Basics - Weight Matrix Operations
(Appendix: Python Practice) Weight Matrix Operations
5.
Neural Network Training - Gradient Descent
6.
Training Neural Networks - Predicting with Forward Propagation
7.
Training Neural Networks - Learning with Backpropagation

Part 3.
Going one step further

1.
Softmax and cross entropy
2.
Strict vs. Loose Training: The Overfitting Problem
3.
Understanding Convolutional Neural Networks (CNNs) Easily
4.
Moving on to the next step
(Appendix: Summary) Final Exam
(Appendix: Q&A) Can a non-major become an AI developer?