There are 2 repositories under fully-connected-network topic.
有空就写点,没空就空着。
Building a HTTP-accessed convolutional neural network model using TensorFlow NN (tf.nn), CIFAR10 dataset, Python and Flask.
Semantic Segmentation using Fully Convolutional Neural Network.
ML Prediction of Bible Topics and Passages (Python / React)
This repository is MLP implementation of classifier on MNIST dataset with PyTorch
Content from the University of British Columbia's Master of Data Science course DSCI 572.
Landcover classification using the fusion of HSI and LiDAR data.
Time series prediction using deep learning
Age estimation with PyTorch
MLP implementation in Python with PyTorch for the MNIST-fashion dataset (90+ on test)
Tracking S&P 500 index with deep learning model
Nebula: Lightweight Neural Network Benchmarks
Different kinds of deep neural networks (DNNs) implemented from scratch using Python and NumPy, with a TensorFlow-like object-oriented API.
simple virus DNA classification
implementation of neural network from scratch only using numpy (Conv, Fc, Maxpool, optimizers and activation functions)
Stabilized Hierarchical DNN with multiple knockoffs
Linear Regression, Logistic Regression, Fully Connected Neural Network, Recurrent Neural Network, Convolution Neural Network
This project was my final Bachelor's degree thesis. In it I decided to mix my passion, music, and the syllabus that I liked the most in my degree, deep learning.
MNIST handwritten digit classification using PyTorch
Material utilizado para as aulas introdutórias para graduação sobre a utilização do TensorFlow para treinamento de redes neurais.
Open Source C++ Library for Pseudo-inverse Fully Connected Recurrent Neural Networks (from my PhD)
Twitter sentiment analysis using the sentiment140 dataset
Using deep learning and transfer learning techniques to differentiate plain roads and those with potholes using three different classifiers to obtain the best accuracy with the same convolutional base
An implementation of the Arabic sign language classification using Keras on the zArASL_Database_54K dataset
LeNet5 from Scratch
CIFAR-10 Image Classification using PyTorch
Code for Point Cloud Generation
A classical XOR neural network using pytorch
A small fully-connected neural network that can run MNIST optimized using BOHB
A simple deep learning library for training end-to-end fully-connected Artificial Neural Networks (ANNs), primarily based on numpy and autograd.
CODES (Coupled ODE Surrogates) aims to make surrogates for coupled ODE systems comparable and to aid in learning about their learning behaviour.