TensorFlow Courses

Inside TensorFlow - tf.distribute.Strategy

Explore tf.distribute.Strategy for efficient distributed TensorFlow training. Learn implementation details, data parallelism, and optimization techniques from a TensorFlow engineer.

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

Inside TensorFlow - Functions, Not Sessions

Deep dive into TensorFlow's evolution from tf.Session to tf.function, exploring internal architecture, graph generation, and key concepts for advanced TensorFlow development.

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

Inside TensorFlow - Resources and Variants

Deep dive into TensorFlow's internal architecture, exploring state management, dynamic C++ types, and advanced concepts like resource variables and variant types.

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

Inside TensorFlow - Summaries and TensorBoard

Explore TensorBoard and tf.summary API for data visualization in TensorFlow. Learn about API changes, log directories, event files, and best practices from a TensorFlow engineer.

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

Introducing Google Coral - Building On-Device AI

Explore Google Coral for on-device AI development, featuring Edge TPU hardware and TensorFlow tools. Learn about accelerated machine learning, from prototyping to production, with demos and technical insights.

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

TF-Agents - A Flexible Reinforcement Learning Library for TensorFlow

Explore TF-Agents, a flexible Deep Reinforcement Learning library for TensorFlow. Learn about recent advancements, implementation techniques, and how to jumpstart your RL projects using this modular open-source tool.

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

Cloud TPU Pods - AI Supercomputing for Large Machine Learning Problems

Explore Cloud TPU Pods for AI supercomputing, enabling large-scale model parallelism in deep learning. Learn technical details and new TensorFlow features for accelerating machine learning workloads.

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

Machine Learning Fairness - Lessons Learned

Explore ML fairness lessons from Google, including evaluation techniques and tools like TensorFlow Model Analysis. Learn to proactively address fairness in product development.

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

Machine Learning for Game Developers - Google I/O 2019

Explore machine learning solutions for game development, from Google-built ML models to custom AI training, addressing challenges traditional programming can't solve.

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

TensorFlow Extended - Machine Learning Pipelines and Model Understanding

Explore TFX for building production-ready ML pipelines. Learn data processing, model analysis, and versioning techniques for large datasets, enhancing your machine learning workflow.

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

Swift for TensorFlow - Google I/O 2019

Explore Swift for TensorFlow, a platform integrating deep neural networks with traditional software development. Learn its benefits for advanced machine learning research and why fast.ai chose it for their deep learning course.

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

Getting Started with TensorFlow 2.0 - Google I/O'19

Explore TensorFlow 2.0's user-friendly APIs for creating neural networks. Learn when to use Keras Sequential, Functional, and Subclassing APIs through practical code examples.

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

Machine Learning on Your Device - The Options

Explore TensorFlow's options for integrating machine learning into mobile apps and edge devices, from model training to deployment using TensorFlow Lite.

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

Inside TensorFlow - TF Input Pipeline

Explore TensorFlow's tf.data input pipeline, covering data sources, transformations, performance optimizations, and advanced features for efficient data handling in machine learning workflows.

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

TensorFlow Extended - TFX Overview and Pre-Training Workflow

Explore TensorFlow Extended's pre-training workflow, focusing on data validation and transformation for robust machine learning pipelines. Learn key components and best practices for efficient ML development.

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