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Projects in Awesome Lists tagged with fully-connected-network

A curated list of projects in awesome lists tagged with fully-connected-network .

https://github.com/ahmedfgad/cifar10cnnflask

Building a HTTP-accessed convolutional neural network model using TensorFlow NN (tf.nn), CIFAR10 dataset, Python and Flask.

cnn computer-vision convnet convolutional-neural-network css dropout flask fully-connected-network html http image-classification image-processing javascript max-pooling python relu tensorflow web-application

Last synced: 23 Apr 2025

https://github.com/upul/semantic_segmentation

Semantic Segmentation using Fully Convolutional Neural Network.

fully-connected-network python3 semantic-segmentation tensorflow

Last synced: 08 May 2025

https://github.com/rcdilorenzo/ecce

ML Prediction of Bible Topics and Passages (Python / React)

data-science fastapi fully-connected-network interactive-visualizations keras-tensorflow reactjs

Last synced: 18 Jan 2026

https://github.com/obadakhalili/fcnn

An implementation for an FCNN from scratch, for educational purposes

ai deep-learning fully-connected-network machine-learning neural-network

Last synced: 11 Jan 2026

https://github.com/abazshoushtari/image-classification-pytorch

Image Classification projects on MNIST dataset and brain tumors images using PyTorch

classification cnn fully-connected-network pytorch resnet-50

Last synced: 02 Jan 2026

https://github.com/stephanielees/goldfcn

using Fully Connected Network to forecast gold price in January 2024.

forecasting fully-connected-network neural-network python timeseriesanalysis

Last synced: 27 Apr 2026

https://github.com/ahmad-ali-rafique/handwritten-digit-recognition-mnist

This project demonstrates a complete pipeline for recognizing handwritten digits using the MNIST dataset. The project is implemented in Python using Jupyter Notebook, and it covers data loading, preprocessing, model training, and performance evaluation of a Fully Connected Neural Network (FCNN).

ai artificial-intelligence data data-analysis datascience deep-learning deep-neural-networks fcnn fully-connected-network machine-learning machine-learning-algorithms ml modeling

Last synced: 09 Jun 2026

https://github.com/ardawanism/mlp-mixer-an-all-mlp-architecture-for-vision

In this repository, a very informative and comprehensive implementation of MLP-Mixer is provided for educational purposes using PyTorch.

computer-vision deep-learning deep-neural-networks fully-connected-network machinevision mlp mlp-mixer

Last synced: 26 Jun 2025

https://github.com/ahmad-ali-rafique/weather-prediction-fcnn

This project demonstrates a complete pipeline for weather prediction using a Fully Connected Neural Network (FCNN). The project is implemented in Python using Jupyter Notebook, and it covers data loading, preprocessing, model training, and performance evaluation.

ai artificial-intelligence data-analysis data-science deep-learning deep-neural-networks fully-connected-network machine-learning machine-learning-algorithms weather-information

Last synced: 28 Aug 2025

https://github.com/carlo-/fcnet

Simple Python implementation of a fully connected neural network

cifar10 fully-connected-network machine-learning neural-network

Last synced: 09 Apr 2026

https://github.com/yvan674/minimal-mnist

A small fully-connected neural network that can run MNIST optimized using BOHB

deep-learning fully-connected-network mnist-classification neural-network raspberry-pi

Last synced: 22 Jun 2026

https://github.com/vansh-py04/convolution-net-from-scratch

A minimal NumPy-based implementation of a 3-layer convolutional neural network (CNN) from scratch — including custom forward and backward passes for conv, ReLU, pooling, affine, and softmax layers. Perfect for learning how CNNs actually work under the hood.

backpropagation cnn computer-vision convolutional-neural-networks cs231n cs231n-assignment deep-learning from-scratch from-scratch-in-python fully-connected-network machine-learning maxpool2d nueral-networks numpy softmax stanford-deep-learning

Last synced: 24 Apr 2026