"I refuse to say anything beyond five years because I don't think we can see much beyond five years." - Geoffrey Hinton
In this project, I'm going to build some deep learning models to recode my learning journey.
MLP: the bike prediction folder contains a MLP model predicting bike sharing volume using numpy
CNN: the image classification project folder contains a CNN model classifing image from 10 different categories
RNN:
LSTM: The tv_script folder contains a LSTM model which can generate TV_Script using tensorflow and keras
GAN: The face_generation folder contains a GAN model which can generate synthetic human faces using tensorflow and keras
the list will continue to expend
Some thoughts
The next move of this project will focus on the following to category
building models using only numpy to help myself gain more insight on deep learning
building models that focusing on fraud investigation