GitHub topics: fully-connected-neural-network
MarlonGnirum/neuroparticles
Explore **Neuroparticles**, a real-time AI simulation where tiny organisms learn and evolve using neural networks and genetic algorithms. 🌐🤖
Language: JavaScript - Size: 6.31 MB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 0 - Forks: 0
xcontcom/neuroparticles
Artificial life. Particles driven by neural networks, fighting on a grid and evolving through genetic algorithms.
Language: JavaScript - Size: 6.38 MB - Last synced at: 19 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0
LKEthridge/Computer_Vision
A Computer Vision project from TripleTen
Language: Jupyter Notebook - Size: 685 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
oysteijo/simd_neuralnet
Feed-forward neural network implementation in C with SIMD instructions
Language: C - Size: 495 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 17 - Forks: 0
husnainfareed/mnist-handwritten-digit-recognition
Keras Fully Connected Neural Network using Python for Digit Recognition
Language: Jupyter Notebook - Size: 15.6 KB - Last synced at: 7 months ago - Pushed at: almost 6 years ago - Stars: 15 - Forks: 12
AndyVale/fullyconnected_benchmarks_vnncomp
This repository contains a collection of fully connected benchmarks from VNNCOMP 2022-2024. It is designed to offer a more organized version of the existing benchmarks, making it easier to test new software. We recommend cloning the 'benchmarks_vnncomp' repository, which includes this repository as a submodule.
Size: 52.2 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
Mayurd9/NN-from-scratch
This is the code for a fully connected neural network. The code is written from scratch using Numpy, without using any ready-made deep learning library. In this, classification is done on the MNIST dataset. It is generalized to include various options for activation functions, loss functions, types of regularization, and output activation types.
Language: Jupyter Notebook - Size: 14.6 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
Gtothemoon/Zero2FCNN
Building fully connected neural network from zero without using deep learning libraries such as Pytorch.
Language: Python - Size: 12.2 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
josch14/double-descent
Double Descent results for FCNNs on MNIST, extended by Label Noise (Reconciling Modern Machine-Learning Practice and the Classical Bias–Variance Trade-Off).
Language: Python - Size: 1.81 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0
oorejola/Forward-Feed-Neural-Network 📦
Fully Connected Forward Feed Neural Network
Language: Python - Size: 18.6 KB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0
AaronThomasJoseph/DL-Projects
This GitHub repository contains the code used for CS-671: Introduction to Deep Learning course offered by IIT Mandi during the Even Semester of 2022. The repository includes the implementations of various deep learning algorithms and techniques covered in the course.
Language: Jupyter Notebook - Size: 31.7 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
guilhermedom/diabetes-neural-network-diagnosis
Fully connected neural network diagnosing patients with diabetes.
Language: Jupyter Notebook - Size: 1.02 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0
michaela10c/nn-analysis-on-dataseets
Investigates which datasets different neural network implementations are useful
Language: Jupyter Notebook - Size: 935 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
MarsRoboters/Liar-Detector
Unsupervised Learning Algorithms being implemented to detect a liar.
Language: Python - Size: 494 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
seifeddinedridi/machine-learning-fun
This repo contains my experiments with machine learning, specifically convolutional neural networks.
Language: Jupyter Notebook - Size: 11.5 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0
mushahidq/fully-connected-NN-for-MNIST-dataset
A fully connected linear neural network to recognize handwritten digits trained on the MNIST dataset
Language: Jupyter Notebook - Size: 16.6 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0
SeonbeomKim/Numpy_FullyConnectedNeuralNetwork
Fully Connected Neural Network, Numpy, Computational graph
Language: Python - Size: 14.6 KB - Last synced at: over 2 years ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 0
