DL_AndrewNg

Deep Learning Specialization

Course 1:Neural Networks and Deep Learning

• Logistic Regression with a Neural Network mindset
• Planar data classification with a hidden layer
• Building your Deep Neural Network: Step by Step
• Deep Neural Network for Image Classification: Application

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

• Initialization
• Regularization
• Gradient Checking
• Optimization
• Tensorflow Tutorial

Course 3:Structuring Machine Learning Projects

• No homework

Course 4:Convolutional Neural Networks

• Convolutional Model: step by step
• Convolutional Model: application (tensorflow)
• Keras Tutorial - The Happy House
• Residual Networks
• Car detection with YOLOv2
• Art generation with Neural Style Transfer
• Face Recognition for the Happy House

Course 5:Sequence Models

• rnn_utils
• Building a recurrent neural network - step by step
• Dinosaur Island - Character-Level Language Modeling
• Jazz improvisation with LSTM
• Operations on word vectors - Debiasing
• Emojify
• Neural Machine Translation with Attention
• Trigger word detection

其它笔记资源：https://github.com/fengdu78/deeplearning_ai_books