10_days_of_deep_learning
10_days_of_deep_learning copied to clipboard
10 days 10 different practical applications of Deep Learning (primarily NLP) using Tensorflow and Keras
10 Days of Deep Learning
I took a challenge upon myself to fast pace my Deep Learning skills using the python data stack. I will take on a real life practical challenge everyday and try to solve it using Deep Learning (Starting from the basics)
Day 1
Text classification using Multi Layered Perceptron and comparing with NN's
TODO:
- Use learning rate decay
- Batch normalization
- More number of epochs
Day 2
Text classification using TFIDF feature matrix and MLP
TODO:
- Use LRD, Batch Normalisation
- Use Dropout
- Further process the TFIDF matrix using TruncatedSVD
Day 3
Text classification using word2vec and MLP
TODO:
- Use LRD, Batch Normalisation, Dropout
- Tweaking word2vec hyperparams
Day 4
Text classification using Convolutional Neural Networks
TODO:
- Use LRD, Batch Normalisation, Dropout
- Try a multi-layer Convolutional Network
Day 5
Text classification using Recurrent Neural Networks
TODO:
- Use LRD, Batch Normalisation, Dropout
- Use a combination of CNN and RNN