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TensorFlow might be a bit more popular than Underdog.io. We know about 7 links to it since March 2021 and only 7 links to Underdog.io. 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.
Are those private hiring boards worth it? (hired.com, otta.com, underdog.io, etc). Source: 9 months ago
- Underdog.io Easy to apply features, great for start ups. Source: over 1 year ago
Recently got an email from underdog.io and then immediately was served an ad to their competitor hired.com. Source: almost 2 years ago
Has anyone here used underdog.io to find a job? Can you share your experience? Source: over 2 years ago
Underdog.io | Software Engineer ($120K - $257K) | U.S. Remote, New York, San Francisco | https://underdog.io?utm_source=hn Underdog.io is a talent marketplace providing job seekers a quicker way to interview with multiple top startups. Ideal candidates have the skills and initiative to think deeply about everything from code quality to internal processes to the broader market in which we operate. Specifically,... - Source: Hacker News / almost 3 years 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 / over 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: about 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
OnRecruit - OnRecruit helps companies attract talent to the jobs in their own website by automating and optimizing their paid advertising in job search.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
AppVault - AppVault offers data driven solutions to optimize the hiring process.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
JamieAi - JamieAi offers specialized recruitment through a unique combination of human and AI-powered processes for hiring data talent.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.