Topics

20

Duration

32 Weeks

Progress

0/20

Learning Progress0%
Deep Learning Fundamentals
AI Roadmap

Deep Learning Fundamentals

Learning Path

Follow these concepts in order to master this topic.

1
Introduction to Deep Learning
2
AI vs Machine Learning vs Deep Learning
3
Biological Neurons vs Artificial Neurons
4
Perceptron
5
Artificial Neural Networks (ANNs)
6
Forward Propagation
7
Activation Functions
8
Loss Functions
9
Gradient Descent Review
10
Backpropagation
11
Epochs
12
Batch Size
13
Learning Rate
14
Optimizers (SGD, Adam, RMSProp)
15
Regularization
16
Dropout
17
Batch Normalization
18
Overfitting in Deep Learning
19
Training Deep Neural Networks
20
Real-World Deep Learning Applications

Documentation

Official documentation and references.

Video Courses

Recommended free video courses.

Projects

Apply what you've learned by building real projects.

Build Your First Neural Network
Beginner
Classify Handwritten Digits (MNIST)
Intermediate
Build a Deep Neural Network from Scratch
Advanced

Tools

Recommended tools for this topic.