Active Record Migrations — Ruby on Rails GuidesMigrations are a feature of Active Record that allows you to evolve your database schema over time. Rather than write schema modifications in pure SQL, migrations allow you to use an easy Ruby DSL to describe changes to your tables.tagged: migrationsrails07-12-2020
Deep Convolutional Generative Adversarial Network | TensorFlow CoreThis tutorial demonstrates how to generate images of handwritten digits using a Deep Convolutional Generative Adversarial Network (DCGAN). The code is written using the Keras Sequential API with a tf.GradientTape training loop.tagged: gantensorflowmachine-learning07-12-2020
Face Mask For Trump - with face landmark detection - Benson Technologyhttps://cdn.jsdelivr.net/npm/@tensorflow-models/facemeshtagged: facemeshtutorialsface-detection06-12-2020
Face Mesh - mediapipeMediaPipe Face Mesh is a face geometry solution that estimates 468 3D face landmarks in real-time even on mobile devices. It employs machine learning (ML) to infer the 3D surface geometry, requiring only a single camera input without the need for a dedicated depth sensor. Utilizing lightweight model architectures together with GPU acceleration throughout the pipeline, the solution delivers real-time performance critical for live experiences.tagged: mediapipeface-detection06-12-2020
tensorflow/tfjs: A WebGL accelerated JavaScript library for training and deploying ML models.TensorFlow.js is an open-source hardware-accelerated JavaScript library for training and deploying machine learning models.tagged: tensorflowtensornodecost-of-jsjstfljs06-12-2020
blazeface demoThis demo shows the blazeface model detecting faces in a live camera feed. The demo renders a semi-transparent red box over faces, and blue dots over facial landmarks (eyes, ears, nose, and mouth).tagged: blaze-faceaiface-trackingface-detectiontensorflow06-12-2020
Machine Learning For Front-End Developers With Tensorflow.js — Smashing MagazineUsing JavaScript and frameworks like Tensorflow.js is a great way to get started and learn more about machine learning. In this article, Charlie Gerard covers the three main features currently available using Tensorflow.js and sheds light onto the limits of using machine learning in the frontend.tagged: machinemachine-learningtensor-flowcharlie-gerard06-12-2020
TensorFlow.js modelsExplore pre-trained TensorFlow.js models that can be used in any project out of the box.tagged: tensorflowpre-trained05-12-2020
TensorFlow.js Transfer Learning Image ClassifierIn this codelab, you will learn how to build a simple "teachable machine", a custom image classifier that you will train on the fly in the browser using TensorFlow.js, a powerful and flexible machine learning library for Javascript. You will first load and run a popular pre-trained model called MobileNet for image classification in the browser. You will then use a technique called "transfer learning", which bootstraps our training with the pre-trained MobileNet model and customizes it to train for your application.tagged: tensorflowmachine-learningmobilenet05-12-2020
tensorflow/tfjs-models: Pretrained models for TensorFlow.jstagged: tensorflowcontrained-local-modelspre-trained05-12-2020
ImageNetImageNet is an image database organized according to the WordNet hierarchy (currently only the nouns), in which each node of the hierarchy is depicted by hundreds and thousands of images. Currently we have an average of over five hundred images per node. We hope ImageNet will become a useful resource for researchers, educators, students and all of you who share our passion for pictures.Click here to learn more about ImageNet, Click here to join the ImageNet mailing list.tagged: imagesdatabasemachine-learning05-12-2020
