Deep Learning with Apache MXNet

---

Following is the logical sequence of notebooks to try-out for beginners to the MXNet framework:

1. Basic Training
2. Experimentation with different initializations, batch normalization, optimizers & dropouts
3. Transferring the abstract representations at hidden layers to learn logistic regressor model
4. CNN for Text Classification (using low-level Symbol API) & extended to use FastText embeddings