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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

aghanhussain/DeepLearning

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