elu-activation

There are 0 repository under elu-activation 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 pytorch-implementation pytorch-cnn image-classification kaggle intel-image-classification relu-activation elu-activation xavier-initializer kaiminghe adam-optimizer sgd-optimizer crossentropyloss nll-loss
Language:Jupyter Notebook 2
jElhamm / Activation-Functions
"The 'Activation Functions' project repository contains implementations of various activation functions commonly used in neural networks. "
activation-functions algorithms artificial-intelligence-algorithms artificial-neural-networks python elu-activation gaussian gelu leakyrelu maxout prelude relu relu-activation selu sigmoid sigmoid-activation sigmoid-activation-function swish tanh tanh-activation
Language:Python 1
rbhanush / Fast-and-Accurate-Deep-Neural-Network-Learning-by-ELUs
• 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 neural-network elu-activation sigmoid-function relu deep-learning deep-reinforcement-learning mnist data-visualization
Language:Python 1
sameershinde14 / Deep-Residual-Networks-using-Exponential-Linear-Unit
• 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 conference.
deep-learning deep-neural-networks elu-activation lua residual-networks
Language:Lua 1
Samyakb50 / Self-driving-car-using-deep-neural-network-technique
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.
convolution-layer elu-activation self-driving-car augmentation deep-learning
Language:Jupyter Notebook 1
byelipk / deeper-mnist
Using advanced deep learning techniques on the MNIST dataset. Over 98% validation set accuracy.
mnist tensorflow batch-normalization elu-activation he-initializer softmax-regression adam-optimizer
Language:Python
kuntala-c / Deep-Neural-Network-using-Cifar-10-dataset
Deep Learning concepts practice using Cifar-10 dataset
deep-learning deep-neural-networks tensorflow keras cifar-10 leaky-relu elu-activation selu relu activation-function cifar10-classification
Language:Jupyter Notebook
nafisa-samia / Implementing-Deep-Neural-Network-for-the-CIFAR-10-dataset
Deep Learning concepts practice using Cifar-10 dataset
tensorflow keras relu elu-activation leaky-relu selu activation-functions deep-learning deep-neural-networks cifar-10 cifar10-classification
Language:Jupyter Notebook

elu-activation

kshitijzutshi / INFO6105-CNN-Assignment

jElhamm / Activation-Functions

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

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

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

byelipk / deeper-mnist

kuntala-c / Deep-Neural-Network-using-Cifar-10-dataset

nafisa-samia / Implementing-Deep-Neural-Network-for-the-CIFAR-10-dataset