Deep-Learning-Specialization

Coursera's Deep Learning specialization offered by deeplearning.ai.

Instructor: Andrew Ng

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The Lecture Notes were created by Mahmoud Badry, updated by quanghuy0497

Syllabus:

Course 1: Neural Networks and Deep Learning

[Lecture Slide] [Assignment]

• Week 1: Introduction to Deep Learning
• Week 2: Neural Networks Basics
• Week 3: Shallow Neural Networks
• Week 4: Deep Neural Network

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

[Lecture Slide] [Assignment]

• Week 1: Practical aspects of Deep Learning
• Week 2: Optimization algorithms
• Week 3: Hyperparameter tuning, Batch Normalization and Programming Frameworks

Course 3: Structuring Machine Learning Projects

[Lecture Slide] [Assignment]

• Week 1: ML Strategy 1
• Week 2: ML Strategy 2

Course 4: Convolutional Neural Networks

[Lecture Slide] [Assignment]

• Week 1: Foundations of Convolutional Neural Networks
• Week 2: Deep CNN Models
• Week 3: Object Detection
• Week 4: Special Applications: One-shot Learning & Neural Style Transfer

Course 5: Sequence Models

[Lecture Slide] [Assignment]

• Week 1: Recurrent Neural Networks
• Week 2: Natural Language Processing & Word Embeddings
• Week 3: Sequence Models & Attention Mechanism
• Week 4: Transformer Network