ChalieChang1028 / CS230-Deep-Learning

Deep Learning by deeplearning.ai | The Deep Learning Specialization is a foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology.

Deep Learning by deeplearning.ai

Master Deep Learning, and Break into AI

Instructor: Andrew Ng, Kian Katanforoosh

Introduction

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

Course Certificate

• 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

Programming Assignments

• 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

Milestones

• 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