Creator: Alex Snow, Zaw Min Khaing, 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 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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