RNN-Based Handwriting Recognition in Gboard

Post by ru999gol » Sat, Mar 09, 2019, 1:40 AM UTC

lawrenceyan wrote: post #6

reubenmorais wrote: post #5

The "Making it Work, On-device" paragraph makes it seem like TensorFlow Lite will easily get your model running fast on-device, but in reality RNNs aren't currently supported by the TFLite Converter and the TFLiteLSTMCell example is super slow for training, so this is actually based on proprietary code not available to mere mortals using open source TensorFlow. If you were to actually try reproducing this work, you'd…

For industry/real world work, TensorFlow is best in class. It is far superior to any other existing framework. I agree that there are always areas for improvement, but the way you worded your comment makes it almost sound like TF is pretty subpar compared to other offerings. The reality is more, TensorFlow is really the only option you have if you don’t want to build everything from scratch again. Whether that’s a go…

Post by lawrenceyan » Sat, Mar 23, 2019, 1:29 AM UTC

ru999gol wrote: post #21

lawrenceyan wrote: post #6

Earlier quoted context omitted.

For industry/real world work, TensorFlow is best in class. It is far superior to any other existing framework. I agree that there are always areas for improvement, but the way you worded your comment makes it almost sound like TF is pretty subpar compared to other offerings. The reality is more, TensorFlow is really the only option you have if you don’t want to build everything from scratch again. Whether that’s a go…

what are you even talking about, tf is a mess. pytorch, mxnet, caffee2, etc. are all superior fameworks