TensorFlow Core
TensorFlow is an end-to-end machine learning platform. Articles in this section cover Python development with Keras-based APIs for beginners and experts.
What's new in TensorFlow 2.19
Google Article
Announcement · Estimator
What's new in TensorFlow 2.19

March 13, 2025 — Posted by the TensorFlow team

What's new in TensorFlow 2.18
Google Article
Announcement · Estimator
What's new in TensorFlow 2.18

October 28, 2024 — Posted by the TensorFlow team

What's new in TensorFlow 2.17
Google Article
Announcement · Estimator
What's new in TensorFlow 2.17

July 18, 2024 — Posted by the TensorFlow team

What's new in TensorFlow 2.16
Google Article
Announcement · Estimator
What's new in TensorFlow 2.16

March 13, 2024 — Posted by the TensorFlow team

TensorFlow 2.15 update: hot-fix for Linux installation issue
Google Article
Announcement · Explore
TensorFlow 2.15 update: hot-fix for Linux installation issue

December 05, 2023 — Posted by the TensorFlow team

What's new in TensorFlow 2.15
Google Article
Announcement · Explore
What's new in TensorFlow 2.15

November 17, 2023 — Posted by the TensorFlow team

Distributed Fast Fourier Transform in TensorFlow
Google Article
TensorFlow Core
Distributed Fast Fourier Transform in TensorFlow

August 24, 2023 — Posted by Ruijiao Sun, Google Intern - DTensor team

What's new in TensorFlow 2.13 and Keras 2.13?
Google Article
Keras · TensorFlow Core
What's new in TensorFlow 2.13 and Keras 2.13?

July 25, 2023 — Posted by the TensorFlow and Keras Teams

Training a recommendation model with dynamic embeddings
Google Article
TensorFlow Core · TensorFlow Recommenders
Training a recommendation model with dynamic embeddings

April 19, 2023 — Posted by Thushan Ganegedara (GDE), Haidong Rong (Nvidia), Wei Wei (Google)

What’s new in TensorFlow 2.12 and Keras 2.12?
Google Article
TensorFlow Core
What’s new in TensorFlow 2.12 and Keras 2.12?

March 28, 2023 — Posted by the TensorFlow & Keras teams

Optimizing TensorFlow for 4th Gen Intel Xeon Processors
Google Article
AMX · bfloat16
Optimizing TensorFlow for 4th Gen Intel Xeon Processors

January 10, 2023 — Posted by Ashraf Bhuiyan, AG Ramesh from Intel, Penporn Koanantakool from Google

New State-of-the-Art Quantized Models Added in TF Model Garden
Google Article
TensorFlow Core · TensorFlow Lite
New State-of-the-Art Quantized Models Added in TF Model Garden

December 22, 2022 — Posted by Jaehong Kim, Fan Yang, Shixin Luo, and Jiyang Kang

What’s new in TensorFlow 2.11?
Google Article
TensorFlow Core
What’s new in TensorFlow 2.11?

November 21, 2022 — Posted by the TensorFlow & Keras teams

Building the Future of TensorFlow
Google Article
TensorFlow Core
Building the Future of TensorFlow

October 20, 2022 — Posted by the TensorFlow team

Optimizing TF, XLA and JAX for LLM Training on NVIDIA GPUs
Google Article
Community · TensorFlow Core
Optimizing TF, XLA and JAX for LLM Training on NVIDIA GPUs

September 20, 2022 — Posted by Douglas Yarrington (Google TPgM), James Rubin (Google PM), Neal Vaidya (NVIDIA TME), Jay Rodge (NVIDIA PMM)

September Machine Learning Updates
Google Article
TensorFlow Core
September Machine Learning Updates

September 12, 2022 — Posted by the TensorFlow team

Announcing TensorFlow Official Build Collaborators
Google Article
TensorFlow Core
Announcing TensorFlow Official Build Collaborators

September 07, 2022 — Posted by Rostam Dinyari, Nitin Srinivasan, Douglas Yarrington and Rishika Sinha of the TensorFlow team

What’s new in TensorFlow 2.10?
Google Article
TensorFlow Core
What’s new in TensorFlow 2.10?

September 06, 2022 — Posted by the TensorFlow Team

Bringing Machine Learning to every developer’s toolbox
Google Article
Announcements · Developers
Bringing Machine Learning to every developer’s toolbox

June 27, 2022 — Posted by Laurence Moroney and Josh Gordon for the TensorFlow team

Adding Quantization-aware Training and Pruning to the TensorFlow Model Garden
Google Article
TensorFlow Core · TensorFlow Lite
Adding Quantization-aware Training and Pruning to the TensorFlow Model Garden

June 09, 2022 — Posted by Jaehong Kim, Rino Lee, and Fan Yang, Software Engineers

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