Neural Networks
Studies, experiments and examples about deep learning machine models based on different topologies of neural networks: multilayer perceptrons, convolutional and recurrent layers, long-short-term-memory cells.
Applications of neural networks to fit mathematical objects, to analyze texts, images, sounds and videos, to search for recurrent patterns in numerical series, to solve differencial equations.
Code strictly original written in Python 3 with TensorFlow and/or PyTorch or in Julia with Flux, working and freely available on GitHub.
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