DeepLearning

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Deep Learning Concepts and Research Paper Implementations.

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# DeepLearning
***This repository contains the code for Deep Learning Concepts and Research Paper Implementations.***

All code is written in Python 3 using PyCharm IDE.

# Requirements

**1. Python3.5 +**

**2. Numpy [+mkl for Windows]**

**3. Matplotlib**

|S.No.|                  Project Name                  |                  About                       |     Status       |
| --- | ---------------------------------------------- | -------------------------------------------- | ---------------- |
|  1. |              Basic Neural Network              | Implementation of a Basic Feed Forward Neural Network using Python and Numpy.| Completed|
|  2. |        Generative Adversarial Network (GAN)    | Implementation of Ian Goodfellow's Paper on GAN's.| Completed |
|  3. |             Artistic Style Transfer            | Implementation of Leon A Gaty's paper for Artifying Images.| Completed |
|  4. |            Recurrent Neural Network            | Implementation of a basic RNN using Python and Numpy.| Completed |
|  5. |            OpenAI Cart-Pole Game Bot           | Making a Neural Network learn how to play a Cart-Pole game by OpenAI and win it.| Completed |
|  6. |                  AI Chatbot                    | A chatbot that replies to Questions asked based on the Story/Text it has been Trained on. | Completed |
|  7. |              RNN Language Model                | A RNN model from scratch to show how Language Modelling is done. This code helps generate the new text with correct punctuations, starting and ending words etc. | Completed |
|  8. | CNN Deep Layer Filters Visualization | Implementation to Visualize the Deep Layer Filters of CNN using MNIST Dataset | Completed |
|  9. | Deep Convolutional Generative Adversarial Network | Implementation of DCGAN Paper for MNIST, CIFAR-10 and Celebrity Faces dataset. | Ongoing |
|  10.|  AutoEncoders [Linear, Convolutional, Variational] | Implementation of Linear, Convolutional and Variational AutoEncoders. | Ongoing |
|  11.|  One Shot Learning with Memory Augmented Neural Networks | Implementation of paper One Shot Learning with Memory Augmented Neural Networks [MANN]".  |  Ongoing  |

DeepLearning

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