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This repo includes class work as well as some assignment given to students

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2.1-a-first-look-at-a-neural-network (copy).ipynb
2.1-a-first-look-at-a-neural-network (copy).ipynb
 
 
2.1-a-first-look-at-a-neural-network.ipynb
2.1-a-first-look-at-a-neural-network.ipynb
 
 
3.5-classifying-movie-reviews.ipynb
3.5-classifying-movie-reviews.ipynb
 
 
3.6-classifying-newswires.ipynb
3.6-classifying-newswires.ipynb
 
 
3.7-predicting-house-prices.ipynb
3.7-predicting-house-prices.ipynb
 
 
4.4-overfitting-and-underfitting.ipynb
4.4-overfitting-and-underfitting.ipynb
 
 
5.1-introduction-to-convnets.ipynb
5.1-introduction-to-convnets.ipynb
 
 
5.2-using-convnets-with-small-datasets.ipynb
5.2-using-convnets-with-small-datasets.ipynb
 
 
5.3-using-a-pretrained-convnet.ipynb
5.3-using-a-pretrained-convnet.ipynb
 
 
5.4-visualizing-what-convnets-learn.ipynb
5.4-visualizing-what-convnets-learn.ipynb
 
 
6.1-one-hot-encoding-of-words-or-characters.ipynb
6.1-one-hot-encoding-of-words-or-characters.ipynb
 
 
6.1-using-word-embeddings.ipynb
6.1-using-word-embeddings.ipynb
 
 
6.2-understanding-recurrent-neural-networks.ipynb
6.2-understanding-recurrent-neural-networks.ipynb
 
 
6.3-advanced-usage-of-recurrent-neural-networks.ipynb
6.3-advanced-usage-of-recurrent-neural-networks.ipynb
 
 
6.4-sequence-processing-with-convnets.ipynb
6.4-sequence-processing-with-convnets.ipynb
 
 
8.1-text-generation-with-lstm.ipynb
8.1-text-generation-with-lstm.ipynb
 
 
8.2-deep-dream.ipynb
8.2-deep-dream.ipynb
 
 
8.3-neural-style-transfer.ipynb
8.3-neural-style-transfer.ipynb
 
 
8.4-generating-images-with-vaes.ipynb
8.4-generating-images-with-vaes.ipynb
 
 
8.5-introduction-to-gans.ipynb
8.5-introduction-to-gans.ipynb
 
 
fashionMnistWithCallBackOnAccuracy.ipynb
fashionMnistWithCallBackOnAccuracy.ipynb
 
 

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