Some experiment stuff and tutorials here.

1. Deep-learning without frame work
   A tutorial about how to build your neural network without any framework. (only with python!)

2. Keras vs. TF.keras
   After tensorflow included Keras into tf.keras, I use a simple exampe (fizz-and-buzz) to investigate what's the differences between them and how to use it.

3. Curve fitting - Psychometric function
   In this tutorial, we used behavioral data colleted from the psychology experiment to fit a psychometric function. Tensorflow is used in this tutorial!

4. Cat and dog classification Cat/Dog classification task demo.

5. CNN with simple attention module

6. Multi-model and multi-gpus This is a very useful tool! If you get many GPUs in one computer/sever, it can help you save time.