Creator: Alex Snow and Volunteers

Publisher: Alex Snow School

Publication Date:


Difficulty: Intermediate 

Audience: Computer Science Students, ML and AI Enthusiasts, and IT Professionals 

License: Public Domain

Course State: page.state  

Pre-perquisite: ဒီ course ကို Computer Science, Machine Learning theory, Python Programming တွေ အခြေခံရှိပြီးမှ တက်သင့်ပါတယ်။

Week 1

Train / Dev / Test sets

Bias / Variance

Why regularization reduces overfitting?

Dropout and Other regularization methods

Setting up your optimization problem

Gradient checking

Week 2

Mini-batch gradient descent

Exponentially weighted averages

Vector triangle inequality

Gradient descent with momentum

RMSprop and Adam optimization algorithm

Learning rate decay

Week 1 and Week 2 Programming exercise

Week 3

Hyperparameters tuning process

Why does Batch Norm work?

Softmax Regression

Week 3 Assingment

Reading List

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