From c1b62a5b05ff8f4907708ad097645d187b1f9d8c Mon Sep 17 00:00:00 2001
From: Adarsh Kumar <45385384+AdarshKumar712@users.noreply.github.com>
Date: Thu, 16 Jan 2020 20:42:49 +0530
Subject: [PATCH 1/3] Create Readme.md

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 text/char-rnn/Readme.md | 4 ++++
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+# Character Level Language Model using RNNs
+This is an implementation of RNN based Character Level Language Model. In this model,RNN model(based on LSTMs) is given a chunk of huge text on which it is trained to  model the probability distribution of the next character in the sequence given a sequence of previous characters. This will then allow the model to generate new text one character at a time
+
+To train this Model, Shakespeare.txt was used, however any text can be used to train the model.

From a8e9697cb17f863a0b8e79d92456170ede7154d6 Mon Sep 17 00:00:00 2001
From: Adarsh Kumar <45385384+AdarshKumar712@users.noreply.github.com>
Date: Thu, 16 Jan 2020 21:14:35 +0530
Subject: [PATCH 2/3] Create Readme.md

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 vision/mnist/Readme.md | 9 +++++++++
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+# Simple NN models for Computer Vision on MNIST Dataset
+This folder contains following models implemented on MNIST Dataset for Hand-Written Digit Recognition:
+1. Simple Multi-layered Perceptron model(<i>mlp.jl</i>)
+2. Simple Convolutional Neural Networks(<i>conv.jl</i>)
+3. Simple Autoencoders(<i>autoencoder.jl</i>)
+4. Variational Autoencoders(<i>vae</i>)
+
+## About MNIST Dataset
+MNIST Dataset is a large database of Handwritten Digits that is commonly used for training various Image Processing Systems 

From 53725cb5bc232caa357bb93597ac363f4e11e673 Mon Sep 17 00:00:00 2001
From: Adarsh Kumar <45385384+AdarshKumar712@users.noreply.github.com>
Date: Thu, 16 Jan 2020 21:21:35 +0530
Subject: [PATCH 3/3] Update Readme.md

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 # Character Level Language Model using RNNs
 This is an implementation of RNN based Character Level Language Model. In this model,RNN model(based on LSTMs) is given a chunk of huge text on which it is trained to  model the probability distribution of the next character in the sequence given a sequence of previous characters. This will then allow the model to generate new text one character at a time
 
-To train this Model, Shakespeare.txt was used, however any text can be used to train the model.
+To train this Model, Shakespeare.txt was used. However, any text can also be used to train the model.