Creator: Alex Snow, Zaw Min Khaing, 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 တွေ အခြေခံရှိပြီးမှ တက်သင့်ပါတယ်။

Course 1: Neural Network and Deep Learning

Introduction to Deep Learning

Gradient Descent, Logistic Regression, Vectorization, Broadcasting

Neural Networks Overview

Deep Neural Networks

Course 2: Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

Optimization algorithms

Practical aspects of Deep Learning

Hyperparameter tuning, Batch Normalization and Programming Frameworks

Course 3: Structuring Machine Learning Projects

Introduction to ML Strategy

Comparing to human-level performance

Mismatched training and dev/test set, Learning from multiple tasks, End-to-end deep learning

Course 4: Convolutional Neural Networks

Convolutional Neural Networks

Classical Neural Networks, ResNets, Inception Network

Transfer Learning, Image Augmentation, State of Computer Vision

Detection Algorithms

Face Recognition, Neural Style Transfer

Course 5: Sequence Models

Recurrent Neural Networks Part 1

Recurrent Neural Networks Part 2

Natural Language Processing & Word Embeddings

Sequence models & Attention mechanism

Reading List

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