Shubham-SK/udacity-DL-projects

My projects from the Udacity Deep Learning Nanodegree.

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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.

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edaaydinea/Multiple-Sclerosis-Lesion-Segmentation-from-Brain-Magnetic-Resonance-Images-via-Fully-Convolutional

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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

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yaronso/DNN-Optimizers

Using different ML models with different optimizers (pytorch)

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groshanlal/NN2Rules

Explain fully connected ReLU neural networks using rules

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hanmacrad2/FCNs_GCNs_classify_fmri

Application of Fully Connected Neural Networks (FCNs) & Graphical Convolutional Neural Networks (GCNs) using pytorch to fmri movie data

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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.

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Abuzariii/Fashion-MNIST

Neural Networks Classification on Fashion MNIST.

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nadernamini/cs182-assignment1

CS 182 Spring 2019 - Assignment 1

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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.

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Junzhuodu/RoboND-DeepLearning-Project Fork of udacity/RoboND-DeepLearning-Project

RoboND Term 1 Deep Learning Project, Follow-Me

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