maxout-networks

There are 0 repository under maxout-networks topic.

• philipperemy / tensorflow-maxout

  Maxout Networks TensorFlow implementation presented in https://arxiv.org/abs/1302.4389

  maxouttensorflow-maxoutmaxout-networkstensorflow
  Language:Python 57

• mabirck / modular_DeepRL

  Attempt to implement A2C and PPO algorithm with modular properties of Maxout and LWTA. # UNFINISHED AND FAILED

  a2ca3cdeep-learningdeep-reinforcement-learninglwtamaxout-networksmodular-networksmodular-trainingpporeinforcement-learning
  Language:Python 1

• thetechdude124 / Custom-Maxout-Activation-Implementation

  💡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.

  deep-learningdeep-neural-networksmaxoutmaxout-networksmnist-classificationrelu-activation
  Language:Jupyter Notebook 0

• cipollone / maxout-nn

  Easily write and train Maxout networks

  neural-networkmaxoutmaxout-networkspython3tensorflowtensorboard
  Language:Python

• hwixley / EMNIST-NeuralNet-Regularisation-Experiments

  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.

  dropoutemnistl1-regularizationl2-regularizationmaxout-networksoverfitting
  Language:Jupyter Notebook

• hwixley / MLP-coursework1-report

  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.

  dropoutemnistl1-regularizationl2-regularizationmaxout-networksoverfitting
  Language:TeX