TensorFlow Courses

Transfer Learning in JavaScript with TensorFlow.js

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.

• YouTube
• 37 minutes
• On-Demand
• Free Video

Keras Preprocessing Layers

Learn to streamline model development with Keras Preprocessing Layers. Build end-to-end models, transform inputs, and improve performance using tf.data and multi-worker training.

• YouTube
• 37 minutes
• On-Demand
• Free Video

Best Practices for ML Product Decisions - ML Tech Talks

Explore UX considerations for AI/ML products with Senior UX Designer Di Dang. Learn about user needs, mental models, explainability, and trust to enhance your machine learning product decisions.

• YouTube
• 32 minutes
• On-Demand
• Free Video

Federated Learning - Basics and Application to the Mobile Keyboard

Explore federated learning basics and its application to mobile keyboards, covering practical implementation and real-world use cases in this informative tech talk.

• YouTube
• 32 minutes
• On-Demand
• Free Video

Transfer Learning and Transformer Models

Explore natural language processing's evolution, focusing on Transformer architecture, language modeling, and BERT's impact on transfer learning in this comprehensive tech talk.

• YouTube
• 45 minutes
• On-Demand
• Free Video

Introduction to Explainable AI

Explore Explainable AI, interpretable ML methods, and Integrated Gradients in this comprehensive talk. Gain insights into attribution baselines and future research directions.

• YouTube
• 46 minutes
• On-Demand
• Free Video

Generative Adversarial Networks and TF-GAN - ML Tech Talks

Explore Generative Adversarial Networks (GANs) and TF-GAN library. Learn GAN applications, metrics, self-attention GAN, and practical implementation tips from a TensorFlow Research Engineer.

• YouTube
• 59 minutes
• On-Demand
• Free Video

Intro to Graph Neural Networks

Comprehensive introduction to graph neural networks, covering theory, applications, and hands-on practice with a Colab exercise. Ideal for those interested in advanced machine learning techniques.

• YouTube
• 51 minutes
• On-Demand
• Free Video

A Friendly Introduction to Linear Algebra for ML

Explore key linear algebra concepts for machine learning, including data representations, vector embeddings, and dimensionality reduction, with insights from a postdoc at X.

• YouTube
• 38 minutes
• On-Demand
• Free Video

TensorFlow from the Ground Up - ML Tech Talks

Explore TensorFlow fundamentals: tensors, variables, gradients, modules, training loops, and tf.function. Ideal for those with ML basics seeking a deeper understanding of TensorFlow's core concepts.

• YouTube
• 30 minutes
• On-Demand
• Free Video

Building Trusted AI Products - Workshop

Gain insights on building trustworthy AI products through exercises and resources from the People + AI Research team, focusing on user-centered design and calibrating trust in AI development.

• YouTube
• 55 minutes
• On-Demand
• Free Video

Intro to Deep Learning - ML Tech Talks

Comprehensive introduction to deep learning concepts, neural network architectures, and practical applications, featuring TensorFlow examples, code demos, and insights into representation learning and model interpretability.

• YouTube
• 1 hour 14 minutes
• On-Demand
• Free Video

Inside TensorFlow - Parameter Server Training

Explore parameter server training in TensorFlow for scaling model training across multiple machines, covering concepts, APIs, limitations, and future developments.

• YouTube
• 39 minutes
• On-Demand
• Free Video

Superpowers with TensorFlow.js

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.

• YouTube
• 26 minutes
• On-Demand
• Free Video

Inside TensorFlow- Building ML Infra

Explore research and engineering challenges in building machine learning infrastructure, focusing on TensorFlow runtime and optimization techniques for ML programs.

• YouTube
• 43 minutes
• On-Demand
• Free Video