fully-connected-deep-neural-network

There are 0 repository under fully-connected-deep-neural-network topic.

HamidrezaZarrabi / BlessMark
BlessMark: A Blind Diagnostically-Lossless Watermarking Framework for Medical Applications Based on Deep Neural Networks
watermarking blind-watermarking roi-based-watermarking cnn-tensorflow fully-connected-deep-neural-network
Language:Python 16
edaaydinea / Predictive-Modeling-of-Multiple-Sclerosis-Risk-in-CIS-Patients
multiple-sclerosis deep-learning lesion-segmentation convolutional-neural-networks fully-connected-deep-neural-network
Language:Jupyter Notebook 6
hanmacrad2 / FCNs_GCNs_classify_fmri
Application of Fully Connected Neural Networks (FCNs) & Graphical Convolutional Neural Networks (GCNs) using pytorch to fmri movie data
neural-network fully-connected-deep-neural-network graphical-neural-networks fmri-classification fmri-data brain-decoding
Language:Jupyter Notebook 5
NvsYashwanth / MNIST-Handwritten-Digits-Recognition
MNIST handwritten digit classification using PyTorch
mnist deep-learning dataset computer-vision pytorch digits handwritten-digits mnist-classification mnist-dataset mnist-handwriting-recognition mnist-image-dataset mnist-data mnist-classifier handwritten-digit-recognition cnn convolutional-neural-networks fully-connected-deep-neural-network fully-connected-network python3
Language:Jupyter Notebook 5
groshanlal / NN2Rules
Explain fully connected ReLU neural networks using rules
explainability explainable-ai fully-connected-deep-neural-network interpretability interpretable-ai machine-learning neural-networks relu-activation rule-learning
Language:Python 4
apurvakatti19 / Heart-Attack-Prediction
This projects constructs the fully connected layered (MLP)neural network models to predict the cardio vascular disease in the patient.To validate the models constructed, an ensemble method (using the voting) is implemented.
mlp neural-network fully fully-connected-deep-neural-network uci-machine-learning
Language:Jupyter Notebook 2
ghazaleh-mahmoodi / Neural_Networks
This repository contains various networks implementation such as MLP, Hopfield, Kohonen, ART, LVQ1, Genetic algorithms, Adaboost and fuzzy-system, CNN with python.
mlp hopfield-network kohonen-map genetic-algorithm fuzzy-logic keras mnist python cnn convolutional-neural-networks adaboost art fully-connected-deep-neural-network lvq neural-networks q-learning-algorithm frozenlake mountaincar-coninuous
Language:Jupyter Notebook 2
srinadhu / convolutional_nn
Implemented fully-connected DNN of arbitrary depth with Batch Norm and Dropout, three-layer ConvNet with Spatial Batch Norm in NumPy. The update rules used for training are SGD, SGD+Momentum, RMSProp and Adam. Implemented three block ResNet in PyTorch, with 10 epochs of training achieves 73.60% accuracy on test set.
cs231n-assignment fully-connected-deep-neural-network batch-normalization dropout convolutional-neural-networks pytorch-cnn-classification sgd-optimizer sgd-moment rmsprop adam-optimizer cifar-10 pytorch
Language:Jupyter Notebook 2
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.
ann deep-learning fully-connected-deep-neural-network fully-connected-neural-network machine-learning mnist-classification neural-network neural-network-from-scratch neural-networks-from-scratch backpropagation gradient-descent numpy python
Language:Jupyter Notebook 1
nadernamini / cs182-assignment1
CS 182 Spring 2019 - Assignment 1
fully-connected-deep-neural-network convolutional-neural-networks batch-normalization dropout
Language:Jupyter Notebook 1
Face-Mask-Detection-Real-Time-Computer-Vision
Tejas-TA / Face-Mask-Detection-Real-Time-Computer-Vision
This repository contains code that implemented Mask Detection using MobileNet as the base model and Neural Network as the head model. Code draws a rectangular box over the person's face in red if no mask, green if the mask is on, with 99% accuracy in real-time using a live webcam. Refer to README for demo
computer-vision deep-neural-networks deep-learning keras tensorflow2 mask numpy-arrays opencv matplotlib scipy face-detection mobilenet maxpooling fully-connected-deep-neural-network label-binarizer python3 relu-activation adam-optimizer softmax-layer imagenet
Language:Jupyter Notebook 1
Shubham-SK / udacity-DL-projects
My projects from the Udacity Deep Learning Nanodegree.
jupyter-notebook pytorch numpy scipy scikit-learn recurrent-neural-networks convolutional-neural-networks fully-connected-deep-neural-network sentiment-analysis long-short-term-memory python-3 generative-adversarial-network amazon-web-services
Language:Jupyter Notebook 0
yaronso / DNN-Optimizers
Using different ML models with different optimizers (pytorch)
deep-learning fully-connected-deep-neural-network
Language:Python 0
Abuzariii / Fashion-MNIST
Neural Networks Classification on Fashion MNIST.
computer-vision convolutional-neural-networks fashion-mnist fully-connected-deep-neural-network neural-network tensorflow
Language:Jupyter Notebook
Junzhuodu / RoboND-DeepLearning-Project
RoboND Term 1 Deep Learning Project, Follow-Me
fully-connected-deep-neural-network sematic-segmentation
Language:Jupyter Notebook