Get started, learn to build deep learning models and apply deep learning to my own projects

1. Try out Theano.
2. Try out TensorFlow.
3. Try out Keras.
4. Develop First Neural Network in Keras.
5. Use Keras Models With Scikit-Learn.
6. Save Best Model During Training With Checkpointing in Keras
7. Reduce Overfitting With Dropout Regularization
8. Lift Performance With Learning Rate Schedules
9. Develop a single layer perceptron and deep CNN model for MNIST classification