maxpooling

oborchers/Fast_Sentence_Embeddings

Compute Sentence Embeddings Fast!

evarae/CNN_Tutorial

Hi! Thanks for checking out my tutorial where I walk you through the process of coding a convolutional neural network in java from scratch. After building a network for a university assignment, I decided to create a tutorial to (hopefully) help others do the same and improve my own understanding of neural networks.

sushantdhumak/Fashion-Clothing-Classification

Kaggle Machine Learning Competition Project : In this project, we will create a classifier to classify fashion clothing into 10 categories learned from Fashion MNIST dataset of Zalando's article images

tejaslodaya/tensorflow-signs-cnn

An algorithm that facilitates communication between a speech-impaired person and someone who doesn't understand sign language using convolution neural networks

amirrezarajabi/Neural-Network-implementation-from-scratch

implementation of neural network from scratch only using numpy (Conv, Fc, Maxpool, optimizers and activation functions)

cakmakaf/dog_breed_classifier

Given an image of a dog, our algorithm will identify an estimate of the canine’s breed. If supplied an image of a human, the code will identify the resembling dog breed.

devsonni/Chart-Classification-Using-CNN----Keras

This repository consists of models of CNN for classifying different types of charts. Moreover, it also includes script of fine-tuned VGG16 for this task. On top of that CradCAM implementation of fine-tuned VGG16.

m0hssn/Smooth-MaxPooling

This repository provides a smooth max pooling implementation using the LogSumExp (LSE) function. Unlike traditional max pooling, which can result in sparse gradients, our approach approximates the maximum operation to ensure more effective gradient distribution.

mainkoon81/Study-09-MachineLearning-D

**DeepLearning** (CNN, RNN) + Bayesian Neural Network

axelvanherle/imgConvolutionCuda-C

Written by Sem Kirkels, Nathan Bruggeman and Axel Vanherle. Grayscales an image, applies convolution, maximum pooling and minimum pooling.

Harmanveer2546/Bird-Species-Prediction-Using-Deep-Learning

Using convolutional neural networks to build and train a bird species classifier on bird pics data with corresponding species labels, also build GUI for the same.

ramyananth/Tag-Recommendation-System-RNN

ZJW-92/Fashion-Class-Classification

In this project, we will create a classifier to classify fashion clothing into 10 categories learned from Fashion MNIST dataset.

allenwind/text-globalmaxpool-visualization

Lucs1590/vgg_bpca

🧠 BPCAPooling, a custom pooling method that performs dimensionality reduction without loss of spatial information.

ND15/Fractional-Max-Pooling

PratikhyaManas/Fashion-Class-Classification

In this project, we use CNN to classify Fashion MNIST data into different categories.

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

divyanshsr/KannadaMNIST

This project aims to classify handwritten Kannada digits using multiple layers of algorithms.

HariShanmugavelu/ConvolutionalNeuralNetworks_FaceDetection

Face detection using convolutional neural networks

HariShanmugavelu/ConvolutionalNeuralNetworks_FaceRecognition

Face identification/recognition model using convolutional neural networks

harmanveer-2546/Bird-Species-Prediction-Using-Deep-Learning

Using convolutional neural networks to build and train a bird species classifier on bird pics data with corresponding species labels, also build GUI for the same.

HumaSejdini/NLP-CoronaTweets

Coronavirus tweets NLP - Text Classification mini-project work for Data Science course, FCSE, Skopje

jasminebilir/cs224N-transformer-ensemble-network

Ensemble Network Including Transformer Models for NLP Patient Text and ED Visit Prediction

OmkarKatkade/Image-Classification-UsinG-Convolutional-Neural-Network

This model helps us classify 10 different real-life objects by undergoing training under tensorflow's CIFAR dataset which contains 60,000 32x32 color images with 6000 images of each class. I have made use of a stack of Conv2D and MaxPooling2D layers followed by a few densely connected layers.

p-dirac/javafx-convolution-network

JavaFx Application for Convolutional Network to perfom Image Classification using Softmax Output Layer, Back Propagation, Gradient Descent, Partial Derivatives, Matrix Flattening, Matrix Unfolding, Concurrent Task, Performance Histogram, Confusion Matrix

peter-strom/ML-p3-CNN

absognety/EVA4

Extensive Vision AI Program from The School Of AI

harmanveer-2546/Recognizing-Digits

I used the MNIST dataset for the implementation of a handwritten digit recognition app. To implement this, will be using a special type of deep neural network called Convolutional Neural Networks. In the end, I also build a Graphical user interface(GUI) where you can directly draw the digit and recognize it straight away.

Harmanveer2546/Recognizing-Digits

I used the MNIST dataset for the implementation of a handwritten digit recognition app. To implement this, will be using a special type of deep neural network called Convolutional Neural Networks. In the end, I also build a Graphical user interface(GUI) where you can directly draw the digit and recognize it straight away.

ManinderpreetPuri/Lesion-Dataset---Deep-Learning-project

Uses deep learning in Python with Keras, Pandas, Numpy, Tensorflow, ScIkit-Learn libraries.

mano3-1/EfficientCentreDet

This is a hybrid variety of detection models which is inspired from bothe centrenet and EfficientDet. This model is as fast as centrenet and much accurate due to the fusion blocks.

prakhargurawa/Handwritten-Character-CNN

rainaa0277/Footwear-classification-using-ConvNets

Making a footwear classification model using CNN.

rayros/flower-photos

Classify flowers with Tensorflow.js