Maxout Networks TensorFlow implementation presented in https://arxiv.org/abs/1302.4389
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Dec 19, 2018 - Python
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maxout-networks
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Attempt to implement A2C and PPO algorithm with modular properties of Maxout and LWTA. # UNFINISHED AND FAILED
reinforcement-learning deep-learning deep-reinforcement-learning a3c maxout-networks ppo a2c lwta modular-training modular-networks
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Jan 11, 2018 - Python
A study of the problem of overfitting in deep neural networks, how it can be detected, and prevented using the EMNIST dataset. This was done by performing experiments with depth and width, dropout, L1 & L2 regularization, and Maxout networks.
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Apr 12, 2023 - Jupyter Notebook
Easily write and train Maxout networks
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Jun 12, 2020 - Python
Machine Learning Practical - Coursework 1 Report: a study of the problem of overfitting in deep neural networks, how it can be detected, and prevented using the EMNIST dataset. This was done by performing experiments with depth and width, dropout, L1 & L2 regularization, and Maxout networks.
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Nov 12, 2021 - TeX
💡Implementing a custom Maxout network from scratch (as an extension of nn.Module in Pytorch) and testing model performance on MNIST in comparison to ReLU networks to determine whether Maxout's more complex function approximations can provide higher accuracies in real-world use cases.
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Jun 23, 2022 - Jupyter Notebook
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