Jamboard VS TFlearn
Compare Jamboard VS TFlearn and see what are their differences
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Jamboard
Miro
Conceptboard
Mural
Samsung Flip
Microsoft Whiteboard
OpenBoard
Witeboard
TFlearn
Keras
DeepPy
Clarifai
Microsoft Cognitive Toolkit (Formerly CNTK)
Merlin
Knet
TensorFlow
Jamboard TFlearnBased on our record, Jamboard should be more popular than TFlearn. It has been mentiond 4 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.
I'm surprised at the lack of comparisons to the Jamboard (https://workspace.google.com/products/jamboard/). Even the promotional images look similar. Also, while not explicitly targeting collaboration, v3 of the Remarkable firmware has added an endless canvas feature which has been nice. - Source: Hacker News / over 1 year ago
It is worth noting that Both Google [1] (since 2016) and Microsoft [2] (since 2018 ?) have their own collaborative whiteboard app. Yet Miro is almost the only one everyone is talking about. Maybe because it is by far the unique unicorn in the space (17B valuation/2012). Or is it the other way around ? I like the expression "never underestimate the power of the default app" (already used in this thread). Well this... - Source: Hacker News / over 1 year ago
It's not an app but this is close to what you want I think? https://workspace.google.com/products/jamboard/. Source: about 2 years ago
Collaboration tools: Slack, Google Slides, Google Jamboard, Trello, Coggle. - Source: dev.to / almost 3 years ago
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
Miro - Scalable, secure, cross-device and enterprise-ready team collaboration tool for distributed teams. Join 2M+ users & 8000+ teams from around the world.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Conceptboard - Instant Whiteboards for Teams & Projects
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.
Mural - MURAL is a visual collaboration workspace for modern teams.
Clarifai - The World's AI