KDnuggets 21:n45, Dec 1: Most Common SQL Mistakes on Data S.Movie Recommendations with Spark Collaborative Filtering.5 Practical Data Science Projects That Will Help You Solve Rea.The Seven Best ELT Tools for Data Warehouses.2021: A Year Full of Amazing AI papers - A Review.Top /r/MachineLearning Posts, October: NSFW Image Recognition, Differentiable Neural Computers, Hinton on Coursera.Top /r/MachineLearning Posts, November: StarCraft II for AI Research Google AI Experiments Website Google in Montreal.Top /r/MachineLearning Posts, December: OpenAI Universe Deep Learning MOOC For Coders Musk: Tesla Gets Awesome-er.Clickbait detection using Deep Learning (Github) Great news for the project, and even more reason to confidently use it yourself.Ħ. This is excellent news for a number of reasons! The high-level interface to TensorFlow (and Theano) is getting official status.įrom the referenced article over at fast.ai:įrancois Chollet, author of Keras and AI researcher at Google, made an exciting announcement: Keras will be the first high-level library added to core TensorFlow at Google, which will effectively make it TensorFlow’s default API. Keras will be added to core TensorFlow at Google Also, there are tons of other environments available, so download Universe and try out something else.ĥ. You can still find supporting environment builds, but since I am unaware of the reasons why this is no longer publicly supported, you can look for them yourself. But no word on the subject that I can find anywhere. That's weird, maybe they ran into some problems with rock-star? OpenAI Universe had easy integration for GTA V, but apparently no longer does ( a development since this discussion was created, and since the now-gone blog post announcement of the original news went live). GTA V integration into Universe is now open-source The discussion has a few gems which may be helpful to interested beginners, and points others interested in trying out similar projects in directions which may alleviate some of the heavy lifting.Ĥ. The link is to the Reddit discussion, but here is a link directly to the corresponding GitHub project. TensorKart: self-driving MarioKart with TensorFlowĪgain, title really says it all here. The link in the title is to the Reddit discussion, while this is the link to the article the discussion centered on, and this is DeepMind's acknowledgement of responsibility.ģ. This thread was created before DeepMind announced that it was, in fact, behind said Go-Bot. Unknown bot repeatedly beats top Go players online - so far it's undefeated Reddit discussions aren't generally known for their German levels of efficiency, but this conversational outlier is a thing of beauty.Ģ. Good, simple question followed by a good, simple answer. The idea is that there's less friction when switching between numpy and tf. It's to match the names of the same operations in numpy. Is it to be more "transparent"/explainatory to the programmer? Is it to be able to add functions like substitute/sub. Tf.mul, tf.sub and tf.neg are deprecated in favor of tf.multiply, tf.subtract and tf.negative Near the start of January, Google released TensorFlow 1.0.0 alpha, upon which I cannot expand much more. The top /r/MachineLearning posts of the past month are: In January on /r/MachineLearning, TensorFlow gets a paint job, an unknown Go bot is in the wild, Mario gets a self-driving kart, GTA integrates (briefly) with OpenAI Universe, Keras gets official status with TensorFlow, and deep learning goes after clickbait.
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