This repository contains the code for Tensorflow Tutorials for Deep Learning from Starting to End. All the code is written using Python3.
1. Python 3.5 +
2. Tensorflow (Latest Version)
3. IPython Jupyter Notebook
| S.No. | Folder Name | About | Status |
|---|---|---|---|
| 1. | Intro to Tensorflow DL | This covers Tensorflow Basics like Placeholders, Variables, Constants etc. It also coveres "Tensorflow Estimator API" for Regression & Classification with projects. | Completed |
| 2. | Convolutional Neural Networks | This covers the basics of CNN along with some basic projects. | Completed |
| 3. | Recurrent Neural Networks | This covers the basics of RNN along with time series prediciton project. | Completed |
| 4. | Tensorflow Abstractions & Tensorboard | This covers various TF Abstractions like Keras, estimator etc. with Tensorboard. | Completed |
| 5. | AutoEncoders | This covers the basics of AutoEncoders. | Completed |
| 6. | Reinforcement Learning | This covers basics of Reinforcement Learning using OpenAI Gym. | Completed |
| 7. | Generative Adversarial Networks | This covers the GAN's for MNIST digit generation. | Completed |