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Based on our record, Heroku seems to be a lot more popular than TFlearn. While we know about 72 links to Heroku, we've tracked only 2 mentions of TFlearn. 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.
TFLearn – Deep learning library featuring a higher-level API for TensorFlow. - Source: dev.to / almost 2 years ago
Both the teams in a game are given their individual ID values and are made into vectors. Relevant data like the home and away team, home runs, RBI’s, and walk’s are all taken into account and passed through layers. There’s no need to reinvent the wheel here, there's a multitude of libraries that enable a coder to implement machine learning theories efficiently. In this case we will be using a library called... - Source: dev.to / about 3 years ago
Review Apps run the code in any GitHub PR in a complete, disposable Heroku application. Review Apps each have a unique URL you can share. It’s then super easy for anyone to try the new code. - Source: dev.to / 15 days ago
The app is deployed to Heroku and when it came time to switch the mode to email-on-account-creation mode, it was a very simple environment change:. - Source: dev.to / 8 months ago
Heroku is a cloud platform that makes it easy to deploy and scale web applications. It provides a number of features that make it ideal for deploying background job applications, including:. - Source: dev.to / 10 months ago
Once you've created it you can host it locally (this means leaving the program running on your computer) or host it through a service online. I haven't personally tried this yet, but I believe you can use a site like heroku.com or other similar services. Source: 12 months ago
I have my app hosted on Heroku, who (to my knowledge) are unable to offer a solution for running a Headless (GUI-less) Browser - such as HTMLUnit - for generating HTML Snapshots for Googlebot to index my AJAX content. Source: about 1 year ago
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
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DeepPy - DeepPy is a MIT licensed deep learning framework that tries to add a touch of zen to deep learning as it allows for Pythonic programming.
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