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I've been doing some of my own experimentation with fine-tuning OWL ViT for standard object detection tasks as opposed to a zero/one shot query-based task with pretty good results. I'm just taking the…
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In the wav2vec colab (https://keras.io/examples/audio/wav2vec2_audiocls/) I get an 'UnimplementedError' when training the model in Colab.
https://colab.research.google.com/github/keras-team/keras-io/…
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**Spektral** certainly seems promising and easy to get started. Also, it has some good examples for predictive tasks. However, **Spektral** lacks examples of generative models.
_That said, other l…
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### Description
**StellarGraph** is interesting and easy to get started. Also, it has some good examples for predictive tasks. However, **StellarGraph** lacks examples of generative models.
I a…
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https://arxiv.org/abs/2211.12905
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I'm tackling a problem, where I want to have individual text classification models for users based on their preferences. It's, therefore, a binary classification task, with the label either being like…
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In the code, the convolution operations is applied for the future time stamp also during the training. Example: for the second iteration (t=1), the stack of three time steps (0,1,2) is used for local …
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Survey
- A Survey of Deep Learning Approaches for OCR and Document Understanding (https://arxiv.org/abs/2011.13534)
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Could you add some notes to these models, especially the corresponding paper links? For example, in this paper, Enhancing the locality and breaking the memory bottleneck of transformer on time series …