Deep Learning with Apache MXNet Following is the logical sequence of notebooks to try-out for beginners to the MXNet framework: Basic Training Experimentation with different initializations, batch normalization, optimizers & dropouts Transferring the abstract representations at hidden layers to learn logistic regressor model CNN for Text Classification (using low-level Symbol API) & extended to use FastText embeddings