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1. Sentiment-Analysis Sentiment-Analysis Public

   A CNN model trained on IMDB dataset and achieved an accuracy of 88.71% and An LSTM trained on IMDB dataset and achieved an accuracy of 88.04%.

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2. Handwritten-Digits-CNN Handwritten-Digits-CNN Public

   A CNN model is trained on MNIST dataset and achieved an accuracy of 99.25%

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3. Data-Augmentation-Techniques Data-Augmentation-Techniques Public

   5 Data Augmentation Techniques and saving them

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4. CNN-for-object-recognition CNN-for-object-recognition Public

   A CNN model trained on CIFAR-10 dataset and achieved an accuracy of 79.58%

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5. Learning-rate-schedules Learning-rate-schedules Public

   Implementation of drop-based and time-based learning rate decay

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6. Learn-Alphabets-LSTM Learn-Alphabets-LSTM Public

   LSTMs learning alphabets in different ways

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