elu-activation

Here are 8 public repositories matching this topic...

kshitijzutshi / INFO6105-CNN-Assignment

My extensive work on Multiclass Image classification based on Intel image classification dataset from Kaggle and Implemented using Pytorch 🔦

pytorch kaggle image-classification xavier-initializer elu-activation adam-optimizer pytorch-cnn sgd-optimizer kaiminghe pytorch-implementation intel-image-classification relu-activation crossentropyloss nll-loss

Updated Dec 12, 2021
Jupyter Notebook

sameershinde14 / Deep-Residual-Networks-using-Exponential-Linear-Unit

Star

• Designed deep residual learning model with exponential linear unit for image classification with higher accuracy. • Decreased the error rate to 5.62% and 26.55% on CIFAR-10 and CIFAR-100 datasets respectively which outpaced the most competitive approaches previously published. • Published research paper for the same on 21th Sept 2016 at ACM co…

deep-neural-networks lua deep-learning residual-networks elu-activation

Updated Dec 30, 2018
Lua

rbhanush / Fast-and-Accurate-Deep-Neural-Network-Learning-by-ELUs

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• Trained the network for MNIST dataset • Implemented neural network on MNIST dataset by using Sigmoid, ReLU, ELU as the activation function. • Analyzed network’s running time, error rate, efficiency and accuracy.

python deep-learning neural-network deep-reinforcement-learning data-visualization mnist elu-activation sigmoid-function relu

Updated Jan 20, 2018
Python

Samyakb50 / Self-driving-car-using-deep-neural-network-technique

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Train car on a known track to generate dataset which include steering angle and view of car from 3 different angles. Use this dataset to drive car on an unknown track. And also learn to identify 43 different traffic signals using existing dataset.

deep-learning self-driving-car augmentation elu-activation convolution-layer