Deep Learning Using Tensorflow

This repository contains the code for Tensorflow Tutorials for Deep Learning from Starting to End. All the code is written using Python3.

Requirements

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

Name		Name	Last commit message	Last commit date
Latest commit History 56 Commits
.ipynb_checkpoints		.ipynb_checkpoints
AutoEncoders		AutoEncoders
Convolutional-Neural-Networks		Convolutional-Neural-Networks
Generative Adversarial Networks		Generative Adversarial Networks
Intro-to-Tensorflow-DL		Intro-to-Tensorflow-DL
Recurrent-Neural-Networks		Recurrent-Neural-Networks
Reinforcement-Learning		Reinforcement-Learning
Tensorflow-Abstractions		Tensorflow-Abstractions
DegreeToFarenheit.ipynb		DegreeToFarenheit.ipynb
Fashion_MNIST_DNN_TF2_0.ipynb		Fashion_MNIST_DNN_TF2_0.ipynb
README.md		README.md