210 skills found · Page 6 of 7
yunchuankong / ForgeNetforgeNet: FORest Graph-Embedded deep feedforward NETwork
lgraesser / NeuralNetworkVectorized implementation of a general feedforward neural network in Python
Sabnam-Mustari / Spike Response ModelFeedforward multilayer spiking neural network with SRM0 model. Gaussian receptive field has been used for information encoding
t9nzin / Mnist From Scratcha feedforward neural network from scratch
dmhacker / CyberdyneFeedforward neural network in a TI-84 graphing calculator
OpenSourceBrain / MejiasEtAl2016Implementation of Mejias et al. 2016: Feedforward and feedback frequency-dependent interactions in a large-scale laminar network of the primate cortex
Subabarathan / Crop Recommendation NnA crop recommendation system using a feedforward neural network (TensorFlow/Keras) that predicts the best crop based on soil nutrients, temperature, humidity, pH, and rainfall.
HandsLing / DFSMNDeep Feedforward sequential memory networks(FSMN)
VIP-Group / DecentralizedFeedforwardEqualizerSimple MATLAB simulator for decentralized feedforward equalization in massive MU-MIMO systems
g-ch / Pva TrackerPID tracker with feedforward
holandajunior / ExtremeLearningMachineDeveloping a Single Hidden Layer Feedforward Neural Network with Extreme Learning Machine concepts
sailordiary / FsmnImplementations for FSMN (Feedforward Sequential Memory Network), cFSMN, DFSMN, and PFSMN units
zcc31415926 / FFNetThe official implementation of the PR2020 paper: Monocular Pedestrian Orientation Estimation Based on Deep 2D-3D Feedforward
moeezm / Mlp In Cvanilla feedforward network written in C to do MNIST, achieves 97% accuracy
Oisin-M / GfnGraph Feedforward Network (GFN) - a novel neural network layer for resolution-invariant machine learning
GLAZERadr / Multi Layer Perceptron PytorchIn this project, we will explore the implementation of a Multi Layer Perceptron (MLP) using PyTorch. MLP is a type of feedforward neural network that consists of multiple layers of nodes (neurons) connected in a sequential manner.
Philasande-Ngubo / FASHION ClassifierThis is a feedforward nueral network to predict clothes based on the FASHION MNIST datasets
WindVChen / PoseGAMA novel multi-view feedforward network that enables direct and robust object pose estimation from a query image.
gangeshbaskerr / Early Depression DetectionI developed a depression detection system through multi-model data integrating word context, audio, and video to predict if a patient exhibits symptoms of depression (binary yes/no). The deep learning architecture involves feedforward highway layers for audio and video, dimensionality reduction using dense layers, concatenation, (Bi)LSTM, and a fin
naomifridman / Neural Network Churn PredictionDeep Learning: Feedforward Neural Network for churn prediction
