deep-learning_assignments

Here are all my assignments from the Deep Learning Coursera Specialization.

• Course 1: Neural Network and Deep Learning

  • Week 1 - Introduction
  • Week 2 - Neural Networks Basics
  • Week 3 - Shallow neural networks
  • Week 4 - Deep Neural Networks

• Course 2: Improving Deep Neural Network: 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 - ML Strategy (1)
  • Week 2 - ML Strategy (2)

• Course 4: Convolutional Neural Network

  • Week 1 - Foundations of Covolutional Neural Network
  • Week 2 - Deep convolutional models case studies
  • Week 3 - Object detection
  • Week 4 - Special applications: 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