
Explore TensorFlow.js fundamentals, including tensors, operations, and the Layers API. Learn to implement linear and polynomial regression, and solve the XOR problem using neural networks.

Learn to build and deploy custom object detection models using TensorFlow, from data labeling to creating a real-time web app with React.js and TensorFlow.js.

Learn to build a color classifier using TensorFlow.js, covering data collection, cleaning, model creation, training, and prediction in a hands-on, step-by-step approach.

Leverage real-time computer vision with Tensorflow.JS and React, exploring facial landmarks, body poses, hand keypoints, and object detection using pre-trained models and webcam input.

Learn to implement deep learning models in JavaScript using TensorFlow.js, covering logistic and linear regression, neural networks, and data preprocessing techniques for browser-based applications.

Comprehensive live stream covering TensorFlow.js color classifier implementation, including model training, data handling, and a bonus Tau Day coding challenge.

Learn to build a color classifier using TensorFlow.js, covering topics like one-hot encoding and integrating with Firebase for data collection and processing.

Explore how JavaScript, TensorFlow.js, and React Native can enhance melanoma detection accuracy, aiding early skin cancer diagnosis and potentially saving lives through innovative technology.

Explore TensorFlow.js: Learn to train, deploy, and perform transfer learning in browsers and Node.js. Includes live demos and practical insights for machine learning workflows.

Aprende inteligencia artificial con TensorFlow.js: crea aplicaciones web que reconocen imágenes, sin instalaciones ni configuraciones complejas. Ideal para principiantes en IA y desarrollo web.

TensorFlow.js를 활용한 AI 개발: 모델 생성, 학습, 활용 및 딥러닝 기초를 다루는 실용적인 JavaScript 기반 AI 프로그래밍 입문 과정

Learn to build and train logistic regression models in TensorFlow.js for diabetes prediction. Covers data visualization, dataset creation, model evaluation, and advanced techniques.

Learn to create voice-controlled React.JS apps using TensorFlow.JS, implementing AI-powered speech command recognition to manipulate on-screen elements with just your voice and microphone.

Learn to deploy Tensorflow.js and React.js computer vision apps to IBM Cloud in 20 minutes. Covers app preparation, deployment, environment setup, and real-time object detection implementation.

Learn to build a real-time body segmentation app using TensorFlow.js and React.js. Explore installation, app development, and live segment detection with a webcam in under 30 minutes.

Learn to implement real-time pose estimation using Posenet, Tensorflow.js, and React.js. Create a web app that detects body joints from webcam feed, helping perfect physical movements like sports or dance.

Explore machine learning in JavaScript with TensorFlow.js, from computer vision to creative prototypes. Learn to implement ML in browsers and beyond, unlocking new possibilities for your projects.

Learn to create a custom machine learning model using TensorFlow.js for object recognition in the browser. Explore transfer learning techniques to build and train models quickly for various applications.

Explore WebAssembly integration with TensorFlow.js for enhanced machine learning performance in web applications, led by expert Kartikey Rawat.

Explore TensorFlow.js with Bekah Hawrot Weigel: learn its applications, get started with hands-on demos, and discover resources for machine learning in JavaScript.

Explore the exciting possibilities of machine learning using TensorFlow.js. Learn to implement object detection, image classification, and other ML techniques in web applications.