filmov
tv
Answering your TF Lite questions and more! #AskTensorFlow
Показать описание
0:21 - Is RNN / LSTM, quantization-aware training, and TOCO conversion in TF Lite available in TensorFlow 2.0?
1:22 - Is there any tutorial / example for text processing models in TF Lite, aside from the pre-trained smart reply example?
1:53 - Is Swift for TensorFlow for iOS programming?
2:37 - Will there be a commodity device that I can use for TPU inferencing?
3:43 - Does TF Lite only work on Coral dev boards?
4:41 - Will Edge TPUs be available to purchase in other countries?
5:19 - What about Android things? Does TF 2.0 support them?
6:08 - What platforms are supported by Swift for TensorFlow?
6:55 - Will there be support in the Python API for exporting object detection models (e.g., after transfer learning) to TF Lite?
8:28 - Why is it currently so difficult to integrate and use custom C++ / CUDA operations in TensorFlow and especially TensorFlow Serving? Are there any plans to make this process easier for production?
9:28 - I had some problems using Keras and TensorFlow + OpenCV. Are there any improvements in TensorFlow 2.0?
10:44 - Does TensorFlow have any API that can do AutoML, as Azure ML SDK?
11:40 - What about Kotlin for TensorFlow?
12:12 - Can a deep learning model be miniaturized automatically?
14:14 - Do you have any plans to add support for constraints or -even better- AutoDiff on manifolds? It would be so nice to do optimization where some parameters live in SO(3), for example.
Resources mentioned in this episode:
This video is also subtitled in Chinese, Indonesian, Italian, Japanese, Korean, Portuguese, and Spanish.
Комментарии