aieml Goto Github PK
Name: Perceptron
Type: User
Bio: The Perceptron is an education platform dedicated for Data Science and Artificial Intelligence related fields. Our main objective is to keep you updated.
Name: Perceptron
Type: User
Bio: The Perceptron is an education platform dedicated for Data Science and Artificial Intelligence related fields. Our main objective is to keep you updated.
This assignment is based on KNN classifier, you have to apply KNN classifier to the given dataset and provide the results as required.
This is an analysis done based on the confirmed cases of COVID-19 virus up to 24th of March. Using Linear Regression, the confirmed cases are predicted for coming 10 days (upto 05th of April). Lets hope this wont be accurate.
We are building an open database of COVID-19 cases with chest X-ray or CT images.
In the Deep Learning & Neural Networks 1 Day Workshop, we discussed about the concepts of Artificial Intelligence, Machine Learning & Deep Learning. We covered the theories and mathematics behind Deep Feed Forward type Neural Networks and at the last phase of the workshop a Neural Network was implemented in Google Co-Lab using Tensorflow and Keras.
diabetic-app-python-backend
This week we discussed about Unsupervised Deep Learning Algorithms. Under the topic we started Autoencorders and implemented a model to denoise the noise in Handwritten Digits. The MNIST dataset with random noise was used.
This Assignment is based on basic Python Programming Concepts
Implementation of a simple FFNN for predicting the probability of having a heart disease
In this tutorial we are going to discuss how to train the Tensorflow object detection Api to detect your custom object (example- Banana),
This tutorial explains how to build up a drawing canvas - web application using Python-Flask and JavaScript. The back end is implemented using Flask. At the end of the tutorial, you will be guided to the 1st in class project, Handwritten Digits Recognition app. A FFNN type neural network will be used for the project and the FFNN will be trained using the MNIST dataset.
This tutorial covers basic function of OpenCV, Numpy and Matplotlib. At the end of the Tutorial You have an Assignment to complete. Please open the DLNN Tutorial-02.ipynb file to view the Tutorial
Introduction to Artificial Intelligence, Python Programming Basics and Essential Python Module
In this week we discussed about Feed Forward Type Neural Networks, Supervised Deep Learning and Forward Propagation and implemented simple 4 layer Deep FFNN for Iris Flower example.
This week we discussed about loss functions, loss optimization, gradient decent, Adaptive learning rate optmizers and back-propagation algorithm. Started the 1st in class project, handwritten digits recognition app using flask and keras. A FFNN type neural network was implemented and trained using the MNIST data-set.
This week we discussed about Convolution Neural Networks. And started building up a simple CNN model for detecting cats and dogs.
In this week trained a CNN to identify cat & dogs and tested it with some unseen data. We experienced that the CNN is suffering from over-fitting while training and ended up with a low validation accuracy like 75%. In coming weeks we will discuss about regularization methods for minimizing and avoiding over-fitting such dropout, early stopping, batch normalization and etc. As the 2nd In class project we implemented the NVIDIA self driving car model with Udacity Self Driving Car Simulator.
This Week we discussed, how view and visualize trainable parameters (Weights and Biases) of a trained Neural Network. Then under applications of CNN we implemented the Tensor-flow object detection API. We applied used the mobile net coco version for this implementation.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.