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How to train custom datasets with efficientnetv2?
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**Describe the bug**
When converting a previously downloaded TF-Hub model using the tf2onnx converter I get an error message telling me to feed a placeholder
**Urgency**
None
**System informa…
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I am building custom object detection on locally stored images into a React Native app using Tensorflow.js and would be **grateful for help processing the image to a tensor before I call model.predict…
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Hi,
The following models for multi-lingual Universal Sentence Encoder are not available as TF2.0 SavedModel:
- https://tfhub.dev/google/universal-sentence-encoder-xling-many/1
- https://tfhub.d…
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Hi,
I'm using a saved-down BERT encoder (https://tfhub.dev/tensorflow/small_bert/bert_en_uncased_L-2_H-128_A-2/2) inside a TimeDistributed Keras layer and it keeps throwing me the following error out…
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**System information**
- Have I written custom code (as opposed to using a stock example script provided in TensorFlow):
- OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Debian 9.11
- Mob…
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Please make sure that this is a bug. As per our [GitHub Policy](https://github.com/tensorflow/tensorflow/blob/master/ISSUES.md), we only address code/doc bugs, performance issues, feature requests and…
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Hi, I couldn't find any tutorials on how to train custom dataset for EfficientNetV2
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The base tagging of the original imagenet21K is single label. I want to know how to get multi-label information for each image in ImageNet22K.
SJLeo updated
3 years ago
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We tried running MoveNet lightning on android [(https://tfhub.dev/google/lite-model/movenet/singlepose/lightning/3)]() and results are not as we expected. We achieved a latency inference of 70 ms on a…