
AI Deep Learning Math Workbook: 214 Problems Solved with Pencil and Paper
Description
Book Introduction
Master the fundamentals of deep learning with just pencil and paper, no coding required.
This hands-on workbook, highly praised by AI experts worldwide, is an innovative textbook that allows you to learn the mathematical principles of deep learning through hand-calculation, without complex code or programming.
Highly recommended for these people
● Developers who want to properly understand AI/machine learning
● Students who want to build a solid foundation in deep learning mathematics
● Professionals who want to know the principles, not the black box AI
Researchers who want to develop mathematical intuition
This hands-on workbook, highly praised by AI experts worldwide, is an innovative textbook that allows you to learn the mathematical principles of deep learning through hand-calculation, without complex code or programming.
Highly recommended for these people
● Developers who want to properly understand AI/machine learning
● Students who want to build a solid foundation in deep learning mathematics
● Professionals who want to know the principles, not the black box AI
Researchers who want to develop mathematical intuition
- You can preview some of the book's contents.
Preview
index
introduction
Recommendation
1.
Dot Product
2.
Matrix Multiplication
3.
Linear Layer (Linear Layer or Linear Transformation Layer)
4.
Artificial Neuron (Activation Function)
5.
Batch (artificial neuron)
6.
Connection (Batch)
7.
Hidden Layer (Connection)
8.
Deep (neural network with many hidden layers)
9.
Wide (layer with many neurons)
10.
Softmax (softmax function or probability distribution function)
11.
Gradient
Recommendation
1.
Dot Product
2.
Matrix Multiplication
3.
Linear Layer (Linear Layer or Linear Transformation Layer)
4.
Artificial Neuron (Activation Function)
5.
Batch (artificial neuron)
6.
Connection (Batch)
7.
Hidden Layer (Connection)
8.
Deep (neural network with many hidden layers)
9.
Wide (layer with many neurons)
10.
Softmax (softmax function or probability distribution function)
11.
Gradient
Detailed image

GOODS SPECIFICS
- Date of issue: December 1, 2025
- Page count, weight, size: 120 pages | 152*228*20mm
- ISBN13: 9791192991931
- ISBN10: 1192991931
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