Based on our record, Roboflow should be more popular than TensorFlow. It has been mentiond 37 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Roboflow is the fastest way to use computer vision in production. We help developers give their software the sense of sight. Our end-to-end platform[1] provides tooling for image collection, annotation, dataset exploration and curation, training, and deployment. Over 250k engineers (including engineers from 2/3 Fortune 100 companies) build with Roboflow. We now host the largest collection of open source computer... - Source: Hacker News / 2 months ago
Roboflow - create and deploy a custom computer vision model with no prior machine learning experience required. The free tier includes up to 1,000 free source images. - Source: dev.to / 3 months ago
Roboflow | Open Source Software Engineer, Web Designer / Developer, and more. | Full-time (Remote, SF, NYC) | https://roboflow.com/careers?ref=whoishiring0224 [2]: https://roboflow.com/universe?ref=whoishiring0224 [4]: https://github.com/roboflow/supervision [6]: https://www.youtube.com/@Roboflow. - Source: Hacker News / 3 months ago
The annotations will be completed on the [Roboflow](https://roboflow.com) platform. The compensation for this project is $0.40 per image, totaling $200 for the completion of all 900 images. Source: 12 months ago
There is always h20 for R, but I get what you mean. If you haven't checked it out yet, Roboflow is pretty dang amazing for computer vision. Source: about 1 year ago
Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / about 1 year ago
So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: almost 2 years ago
Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: almost 2 years ago
I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 2 years ago
I have looked at this TensorFlow website and TensorFlow.org and some of the examples are written by others, and it seems that I am stuck in RNNs. What is the best way to install TensorFlow, to follow the documentation and learn the methods in RNNs in Python? Is there a good tutorial/resource? Source: about 2 years ago
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