TensorFlow might be a bit more popular than Google Custom Search. We know about 7 links to it since March 2021 and only 7 links to Google Custom Search. 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.
Google offers Programmable Search Engine [0], a service where you can create site-specific search box. That's probably good enough for most small personal websites. [0] https://developers.google.com/custom-search/. - Source: Hacker News / about 1 month ago
Google's programmable search engine comes to mind: https://developers.google.com/custom-search/. Source: over 2 years ago
Dorking is not only a very useful technique to find not-indexed results and unvoluntarly exposed content, it it also helps to improve beginner's analyst mindset. You can take it as an introduction to basic query language. What I can strongly suggest is to test your skills by creating your own google custom search engine (https://developers.google.com/custom-search/) that will faciltate your onlime search by... Source: over 2 years ago
It looks like is targeted towards website owners and not the general public. https://developers.google.com/custom-search. - Source: Hacker News / almost 3 years ago
A functional replica of Google's search page, you can use it for searches. Styled with Tailwind CSS to Rapidly build and look as close as possible to current google search page, the search results are pulled using Googles Programmable Search Engine and it was build using Next.js the react framework. - Source: dev.to / about 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 2 years 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 3 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 3 years ago
I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 3 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 3 years ago
Algolia - Algolia's Search API makes it easy to deliver a great search experience in your apps & websites. Algolia Search provides hosted full-text, numerical, faceted and geolocalized search.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Site Search 360 - Site Search 360 enhances and improves your built-in CMS or product search with autocompletion, semantic search, filters, facets, detailed analytics, and a whole lot of customization options.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
ElasticSearch - Elasticsearch is an open source, distributed, RESTful search engine.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.