“In-Browser object detection using YOLO and TensorFlow.js” by @PiotrSkalski92 https://t.co/Ny32S9ECrv #yolo #tensorflow #deeplearning #machinelearning #ml #ai #neuralnetworks
— TensorFlow Best Practices (@TFBestPractices) June 16, 2018
“In-Browser object detection using YOLO and TensorFlow.js” by @PiotrSkalski92 https://t.co/Ny32S9ECrv #yolo #tensorflow #deeplearning #machinelearning #ml #ai #neuralnetworks
— TensorFlow Best Practices (@TFBestPractices) June 16, 2018
Explore the SmoothGrad feature saliency technique in an Observable notebook with TensorFlow.js by @aman_gif.
— TensorFlow (@TensorFlow) June 14, 2018
Learn more here → https://t.co/rKbJ57yRH0 pic.twitter.com/bnJnzgR5S9
TensorFlow Serving has released version 1.8.0 & now supports a RESTful API out of the box! You can now easily make classification, regression & prediction requests to your TensorFlow models using JSON objects.
— TensorFlow (@TensorFlow) June 11, 2018
Learn more here ↓ https://t.co/BtvgZLi2bb
In @TensorFlow 1.9, it is much easier to use Keras with the Data API: just pass data iterators, specify the number of steps per epoch, and you're good to go! Plus it works in both graph mode and eager mode, kudos to the TF team! pic.twitter.com/URJMgUCgB4
— Aurélien Geron (@aureliengeron) June 9, 2018
“TensorFlow 1.9 has Arrived!” by @SagarSharma4244 https://t.co/oqNCR2Xp1b #tensorflow #deeplearning #machinelearning #neuralnetworks #ai
— TensorFlow Best Practices (@TFBestPractices) June 9, 2018
Fighting fire with machine learning: how two California high school students are using @TensorFlow to predict wildfires → https://t.co/z3mfUIdaeh #SearchOn pic.twitter.com/ZmEpooLvDt
— Google (@Google) June 4, 2018