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

Check out more TF Fall 2020 updates → https://goo.gle/tf-fall-updates
Subscribe to TensorFlow → https://goo.gle/TensorFlow


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