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Lecture materials and slides for the University of Oxford's 2017 advanced course on Deep Natural Language Processing.
GPU-accelerated neural network library for JavaScript, running in browsers and Node.js.
A curated list of resources dedicated to recurrent neural networks (RNNs) and deep learning.
Efficient image captioning code in Torch, using a CNN-RNN model to generate captions for images, optimized for GPU training.
Human Activity Recognition using TensorFlow and LSTM RNNs on smartphone sensor data to classify six movement types.
Human Activity Recognition using TensorFlow and LSTM RNNs on smartphone sensor data to classify six movement types.
A deep learning project using Keras to build convolutional and recurrent neural networks for high-accuracy captcha recognition.
A collection of beginner-friendly TensorFlow tutorials using Jupyter Notebook, covering deep learning fundamentals and practical applications.
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