maxpooling

Compute Sentence Embeddings Fast!

A Deep Learning framework for CNNs and LSTMs from scratch, using NumPy.

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

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.

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

Simple GPGPU CUDA C++ code for training Deep Neural Networks (DNN)

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

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

A Simple Trained LeNET Model for handwritten digit recognition

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

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.

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.

Python implementation of the neural networks without using any libraries from scratch, for prediction using the pre-trained weights

Extensive Vision AI Program from The School Of AI

Classify flowers with Tensorflow.js

Face identification/recognition model using convolutional neural networks

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

Image Recognition using CNN

How positive is an IMDB movie review ?

Convolutional neural network implementation using NumPy

Face detection using convolutional neural networks

A LeNet implementation, just for fun

Built CNN model with different no. of layers with added dropout on MNIST data