TensorFlow Fall 2020 updates - Keynote & what’s new since TF2.2

To support TensorFlow's continuing growth and scale, we are excited to share the latest in TF2.x for Fall 2020. Join AI Advocate Laurence Moroney (@lmoroney) for product updates across the ecosystem from research, to production, to deployment, new resources to support Responsible AI, and community updates and tips on how to get more involved! From Keynote: TensorFlow supports Google Meet → https://goo.gle/3ntPLD6 Responsible AI with TensorFlow Toolkit → https://goo.gle/3kFZ94X Certificate in TensorFlow Development → https://goo.gle/3b6IKlz HarvardX TinyML course → https://goo.gle/3pCTVur TensorFlow Trusted Partner Program → https://goo.gle/2OHJLao Developer Advocate Josh Gordon (@random_forests) also presents a technical round up of what's new in TF in 2020, including TF Agents for reinforcement learning, tf.experimental.numpy, and tools for exploring your model's performance. Join us for a rapid-fire look at many new features. From technical roundup: TensorFlow tutorials → https://goo.gle/3kApD7S Keras preprocessing layers guide → https://goo.gle/2HbByLH NumPy API on TensorFlow guide → https://goo.gle/2TMDi0Q TensorFlow Recommenders → https://goo.gle/2IJAkrK tf.data.Dataset.prefetch → https://goo.gle/2UyOaj4 tf.data.Dataset.cache → https://goo.gle/3fgWbTu Optimize pipeline performance → https://goo.gle/38wyKAy Using the TF Profiler → https://goo.gle/3kIcvgS tf.data.snapshot → https://goo.gle/3lH2O3O tf.data.service → https://goo.gle/3f7JMks tf.data service on GKE example → https://goo.gle/3lGng4X Bonus: Neural Radiance Fields → https://goo.gle/38TRIEP Subscribe to TensorFlow → https://goo.gle/TensorFlow