Resources on deep learning

I have been searching for solutions how to use Recurrent Neural Networks for text classifications. Here are some useful resources I’ve found:

• Open Source Deep Learning Server has a library of pre-trained neural nets.
• An article on Analytics Vidhya discuss about transfer learning & The art of using pre-trained models in deep learning. They also have an article about word embeddings.
• Keras has a list of deep learning models with pre-trained weights.
• Hyperopt is a python library for Distributed Asynchronous Hyperparameter Optimization.
• Hands-On Machine Learning with Scikit-Learn and TensorFlow has discussion on deep learning from Ch.10 onward.
• Kaggle forum has a beginner tutorial of using RNN to classify toxic comments on wikipedia editing page.
  (To be updated.)