Creator: Alex Snow and Volunteers
Publisher: Alex Snow School
Publication Date:
Updated:
Audience: Computer Science Students, ML and AI Enthusiasts, and IT Professionals
License:
Public Domain
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
- Coursera: Improving Deep Neural Networks
- Computing the derivatives of a function using computational graph
- Computing the derivatives of Logistic Regression
- Logistic Regression
- Machine Learning Yearning
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