GitHub topics: elu-activation
jElhamm/Activation-Functions
"The 'Activation Functions' project repository contains implementations of various activation functions commonly used in neural networks. "
Language: Python - Size: 2.06 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

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.
Language: Jupyter Notebook - Size: 7.18 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

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.
Language: Lua - Size: 43 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0

byelipk/deeper-mnist
Using advanced deep learning techniques on the MNIST dataset. Over 98% validation set accuracy.
Language: Python - Size: 10.8 MB - Last synced at: about 2 years ago - Pushed at: over 8 years ago - Stars: 0 - Forks: 0

kshitijzutshi/INFO6105-CNN-Assignment
My extensive work on Multiclass Image classification based on Intel image classification dataset from Kaggle and Implemented using Pytorch 🔦
Language: Jupyter Notebook - Size: 352 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

kuntala-c/Deep-Neural-Network-using-Cifar-10-dataset
Deep Learning concepts practice using Cifar-10 dataset
Language: Jupyter Notebook - Size: 1.47 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1

nafisa-samia/Implementing-Deep-Neural-Network-for-the-CIFAR-10-dataset Fork of kuntala-c/Deep-Neural-Network-using-Cifar-10-dataset
Deep Learning concepts practice using Cifar-10 dataset
Language: Jupyter Notebook - Size: 1.47 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

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.
Language: Python - Size: 10.8 MB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 1
