qucy/udacitydeeplearning

deep learning repo

Udacity Deep Learning

This is repository for Udacity Deep Learning Nano Degree

P1 First neural newwork

• ENV : Anaconda + Jupyter notebook + python 3.5 + TF 1.7.0_GPU_Verion
• Using Pandas API to load and understand your data
• Understand Nerual Network like input layer, hidden layer and output layer
• Understand activate function like sigmoid, tang and reLu.
• Understand pros and cons regarding above activate function
• Understand loss function like MSE, log loss etc.
• Understand forward propagation and backward propagation
• Build your first Nerual Netword and implement forward propagation and backward propagation
• Train your Nerual Netword and play with arguments like learning rate, epoch, hidden layer nodes etc.
• Test your model and answer what do you think of your model and why

P2 Dog Project

• Refer to Machine Learning Project 5(Same project).

P3 TV script generation

• ENV : Anaconda + Jupyter notebook + python 3.5 + TF 1.0.0_CPU_Version (Chinese version)
• Understand recurrent nerual network
• Understand Long Short Term Memery(LSTM) cell
• Understand hyper parameters and know how to tune these parameters(learning rate, mini batch size, epoch and hidden nodes, layers etc)
• Understand and implement Mini project Word2Vec
• Understand and implement Mini project sentiment-rnn
• Implement preproccess step in P3
• Implement embed layer and LSTM layer
• Implement get batch method
• Put everything together and train your RNN
• Generate your own tv script

P4 Face generation

• ENV : Anaconda + Jupyter notebook + python 3.5 + TF 1.7.0_GPU_Verion
• Understand GAN and implement GAN in MINI project
• Understand Batch Normalization and DCGAN
• Implement Batch Normalization and DCGAN in MINI project
• Understand and Implement semi-supervised learning GAN (optional)
• Implement P4 Face generation (almost same as MINI project DCGAN, except you need to implement training process by your own)

P5 RL-Quadcopter

• ENV : Anaconda + Jupyter notebook + python 3.5 + TF 1.7.0_GPU_Verion
• Understand MDP
• Understand MC and TD regarding RL
• Understand Actor-Critic
• Implement RL-Quadcopter (can use almost 90% code from examples but need design your own reward function, NN and tune some hyper parameters)

Nano degree

https://confirm.udacity.com/7LF5P5ST