Research at NVIDIA: AI Reconstructs Photos with Realistic Results
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artificial
AMA: I’m Yunkai Zhou, ex-Google Senior engineering leader and CTO & Co-Founder of Leap.ai, which is the first completely automated hiring platform in the tech space. Ask Me Anything on Monday the 23rd of April at 12 PM ET / 4 PM UTC!
Hi r/artificial, my name is Yunkai and I was a Senior ex-Google Engineering Leaders, and the CTO & Co-founder of Leap.ai, the first ever AI augmented hiring and career companion app. We got featured on TechCrunch recently! At Google, I served as a core leader in many of Google’s flagship products. I received my PhD in Electrical & Computer Engineering and am extremely passionate about mentorship, helping people grow and finding success in their careers.
To that end, I’m excited to talk to you about your career successes, growths, the AI industry, my journey (and trials) and how the landscape is changing for tech hiring standards within ML/AI. And for our next challenge, my team and I are currently working on solving this puzzle. You can also check out some of my blogs and writing here
I’m opening this thread to questions now and will be here starting at 12 PM ET / 4 PM UTC on Monday the 23rd of April to answer them.
Ask me anything!
Proof – https://twitter.com/leap_ai/status/987703848012673024
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Machine Learning From Scratch: The Perceptron Model
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Is programming really the most important AI skill to learn?
Isn’t it a possibility that programming could eventually become automated too? I mean quantum computing is on the horizon, so I don’t think it’s too much of a stretch? What skills do you think will be most important in succeeding in the new AI world? …
I’m not a professional in AI, I just like AI and robotics. I tried many courses before but I couldn’t complete as I feel bored because of the way they teach. This one is very interesting and I would definitely recommend this course to people who want a quick start on this topics.
submitted by /u/angela7walker [link] [comments]
Article about MLP hidden-layers
Hello there! I need some articles or books specifically about the number of hidden-layers and number of neurons on each layer in MLPs to use as references. There are several posts out there about this, even the documentation of Sci-Kit learn has some guides regarding this topic, but I’m having a hard time to find good references to quote. Can anyone suggest me something?
submitted by /u/the_fuga
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Building a Content-Based Search Engine I: Quantifying Similarity
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