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A MineSweeper Genius.
Using deep learning neural networks to classify wastes
In this project we will be implementing a Deep Learning Neural Network Algorithm to predict Twitter users’ political affiliations using a singular tweet.
We implement a paper that performs stock market prediction with three different neural networks using LSTM: single LSTM, stacked LSTM, and attention LSTM.
We are implementing the model from the paper “Inverse Cooking: Recipe Generation from Food Images”, which takes as input an image of food and generates a set of ingredients and cooking instructions.
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