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cifar-data-classification--tensorflow-keras

The CIFAR-10 dataset

computer-vision

Face_Eyes_Smile Detector

computer-vision-pipeline

A Deep Learning Computer Vision Pipeline for Object Detection and Classification

covid-19-social-distance-detector

Social distancing is a method used to control the spread of contagious diseases. As the name suggests, social distancing implies that people should physically distance themselves from one another, reducing close contact, and thereby reducing the spread of a contagious disease (such as coronavirus)

ee347

EE347-lab-material

event-based_vision_resources

facial-keypoint-detection

This project will be all about defining and training a convolutional neural network to perform facial keypoint detection, and using computer vision techniques to transform images of faces.

image-captioning

In this project, you will create a neural network architecture to automatically generate captions from images.

knn-regressor-or-linear-regression

Predict the tensile strength of steel

landmark-detection-and-tracking-slam-

In this project, you'll implement SLAM (Simultaneous Localization and Mapping) for a 2 dimensional world! You’ll combine what you know about robot sensor measurements and movement to create a map of an environment from only sensor and motion data gathered by a robot, over time. SLAM gives you a way to track the location of a robot in the world in real-time and identify the locations of landmarks such as buildings, trees, rocks, and other world features. This is an active area of research in the fields of robotics and autonomous systems.

librealsense

Intel® RealSense™ SDK

linear-regression-model

ml-bank_loan_defaulters

resnet50-smile-classifier--celeba-dataset

single-layer-neural-network-from-scratch

spatialattentiongan

SaGAN PyTorch "Generative Adversarial Network with Spatial Attention for Face Attribute Editing"

thermal-yolo

two-layer-neural-network-with-multiple-activation-functions

### Description - Added one more layer to the network and increased the hidden nodes. - I have implemented the neural network in such a way that it'll give us all the outputs using all the activation functions. - Firslty I have defined all the required activation functions like sigmoid, relu and tanh. - Secondly defined the model(forward and backward propagation) with all the activation functions, so that we can compare the results, which is best of all, which is overfitting, underfitting or the perfect fit.

vgg16cam-keras

Keras implementation of the VGG16-CAM model

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