neural networks
Projects with this topic
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SecML models and databases zoo.
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sentiment analysis using keras and tensorflow
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Implementation of a Keyword Spotting Algorithm (KWS) using deep neural networks in the edge.
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An application that generates Singapore news headlines using a neural network trained on news headlines from a newspaper in Singapore. The dockerized API application served using Flask, gunicorn, and Nginx.
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A convolutional neural network for detecting cosmic strings in CMB maps.
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basic back propagation based neural network implementation for classifying simple data sets
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Creating a neural network without a ML frame work to predict handwritten digits from the MNIST Database (https://en.wikipedia.org/wiki/MNIST_database)
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Project containing multiple designs of neural networks with the purpose of categorising accelerometer data into driving behaviours. There are 2 densely connected ANNs for categorial classification and binary classification. Also an RNN with LSTM node
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Experiments regarding Artificial Neural Network's modularization. Main Hypothesis is that modularization helps to reduce training time and the amount of training data required. Furthermore, it can also help generalization and lead to better results.
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My work for part one of the course.fast.ai Practical Deep Learning for Coders, Part 1 class.
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