LeisAlAyoubi/coursera-deep-learning

Deep Learning specialization by Andrew Ng on Coursera

Coursera Deep Learning Specialization

Deep Learning Specialization course material (e.g., lecture slides, quizzes, programming assignments), updating with my study progress.

Courses Outline

• Course 1: Neural Networks and Deep Learning

  • Week 1 - Introduction to Deep Learning
  • Week 2 - Neural Networks Basics
  • Week 3 - Shallow Neural Networks

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

  • 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

  • Week 1 - Machine Learning Strategy 1
  • Week 2 - Machine Learning Strategy 2

• Course 4: Convolutional Neural Networks

  • Week 1 - Foundations of Convolutional Neural Networks
  • Week 2 - Deep convolutional models: case study
  • Week 3 - Object detection
  • Week 4 - Special application: Face recognition & Neural style transfer

• Course 5: Sequence Models

  • Week 1 - Recurrent Neural Networks
  • Week 2 - Natural Language Processing & Word Embeddings
  • Week 3 - Sequence models & Attention mechanism

Notebooks

# TODO: update and index all notebooks

• Logistic Regression with a Neural Network Mindset
• Planar Data Classification with One Hidden Layer
• Building Your Deep Neural Network: Step by Step
• Deep Neural Network for Image Classification: Application
• Initialization
• Regularization
• Gradient Checking
• Optimization Methods
• TensorFlow Tutorial
• Convolutional Model: Step by Step
• Convolutional Model: Application
• Keras - Tutorial - Happy House
• Residual Networks
• Car Detection with YOLOv2
• Art Generation with Neural Style Transfer
• Face Recognition for the Happy House
• Building a Recurrent Neural Network - Step by Step
• Dinosaurus Land - Character-Level Language Model
• Jazz improvisation with LSTM
• Operations on Word Vectors
• Debiasing
• Emojify
• Neural Machine Translation with Attention
• Trigger Word Detection

Remarks

Some course resources are currently unavailable to download (e.g., Jupyter notebooks in Sequential Model course), which I collected from Kulbear.