Master Deep Learning, and Break into AI

Instructor: Andrew Ng, Kian Katanforoosh

This repo contains all my work for this specialization. All the code base, quiz questions, lecture note, ... in Deep Learning Specialization on Coursera.

• Deep Learning Specialization
• Neural Networks and Deep Learning
• Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
• Structuring Machine Learning Projects
• Convolutional Neural Networks
• Sequence Models

• Course 1: Neural Networks and Deep Learning

  • Week 1: Introduction to Deep Learning
    • Non-Assignment
  • Week 2: Neural Networks Basics
    • Python Basics with Numpy
    • Logistic Regression as a Neural Network
  • Week 3: Shallow Neural Networks
    • Planar data classification with a hidden layer
  • Week 4: Deep Neural Network
    • Building your Deep Neural Network: Step by Step
    • Deep Neural Network - Application

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

  • Week 5: Practical Aspects of Deep Learning
    • Initialization
    • Regularization
    • Gradient Checking
  • Week 6: Optimization Algorithms
    • Optimization
  • Week 7: Hyperparameter Tuning, Batch Normalization and Programming Frameworks
    • Tensorflow

• Course 3: Structuring Machine Learning Projects

  • Week 8: ML Strategy (1)
    • Non-Assignment
  • Week 9: ML Strategy (2)
    • Non-Assignment

• Course 4: Convolutional Neural Networks

  • Week 10: Foundations of Convolutional Neural Networks
    • Convolutional Model: Step by Step
    • Convolutional Model: Application
  • Week 11: Deep convolutional models: case studies
    • Keras Tutorial
    • Residual Networks
  • Week 12: Object detection
    • Car detection with YOLO
  • Week 13: Face recognition & Neural style transfer
    • Art generation with Neural Style Transfer
    • Face Recognition

• Course 5: Sequence Models

  • Week 14: Recurrent Neural Networks
    • Building a recurrent neural network - step by step
    • Dinosaur Island - Character-Level Language Modeling
    • Jazz improvisation with LSTM
  • Week 15: Natural Language Processing & Word Embeddings
    • Operations on word vectors - Debiasing
    • Emojify
  • Week 16: Sequence models & Attention mechanism
    • Neural Machine Translation with Attention
    • Trigger word detection

• 2019 / 09 / 27 : Finished Course 1
• 2019 / 10 / 26 : Finished Course 2
• 2019 / 11 / 17 : Finished Course 3
• 2020 / 01 / 01 : Finished Course 4
• 2020 / 02 / 01 : Finished Course 5