The repo is built for recording my journal on Deep Learning. I got completed concepts about Deep Learning, and also implemented various kinds of algorithms including MLP, Autoencoder ,RNN, GRU, LSTM. The frameworks I use in this project include tensorflow and theano.

The turorials which I studied is created by Lazy programmer team.

• reference

• Logistic Regression
• Deep Neural Network(multiple hidden layers NN)
• Momentum
• RMSprop
• Adam
• Dropout
• Batch Normalization

• Autoencoder with Neural Network
• Greed Layer

• RNN for poetry poetry generation
• Word Vector training
• GRU
• LSTM

• LSA (latten semantic analysis)
• TF-IDF and visualization
• Word Analogy Using Word Vector Package (Word2Vec and Glove)
• Bigram Model(using numpy indexing skill)
• Glove Algorithm Implement (using matrix factorization)
• Part-of-Speech Tagging
• Named Entity Recognition (NER)