This is part 3 in a series. Part 1 is here and Part 2 is here.To announce Google’s AutoML, Google CEO Sundar Pichai wrote, “Today, designing neural nets is extremely time intensive, and requires an expertise that limits its use to a smaller community of scientists and engineers. That’s why we’ve created an approach called AutoML, showing that it’s possible for neural nets … [Read more...] about Google’s AutoML: Cutting Through The Hype
This is part 2 in a series. Check out part 1 here and part 3 here.Researchers from CMU and DeepMind recently released an interesting new paper, called Differentiable Architecture Search (DARTS), offering an alternative approach to neural architecture search, a very hot area of machine learning right now. Neural architecture search has been heavily hyped in the last year, … [Read more...] about An Opinionated Introduction To AutoML And Neural Architecture Search
This post is part 1 of a series. Part 2 is an opinionated introduction to AutoML and neural architecture search, and Part 3 looks at Google’s AutoML in particular.There are frequent media headlines about both the scarcity of machine learning talent (see here, here, and here) and about the promises of companies claiming their products automate machine learning and eliminate … [Read more...] about What Do Machine Learning Practitioners Actually Do?
Alexy: I'm here with with Francois Chollet at Google, who recently gave a talk at AI By The Bay. He’s the creator of Keras. He’s also a mathematician . He’s also creator of the artist platform Wysp. And he writes very precisely and very thoughtfully about the philosophical implications of AI. So I think he’s a really ideal guest to talk to about all the key issues of AI … [Read more...] about Why Algorithms Do Not Explain The Mind: An Interview With Francois Chollet
In 1971, Terry Winograd wrote the SHRDLU program while completing his PhD at MIT. SHRDLU features a world of toy blocks where the computer translates human commands into physical actions, such as “move the red pyramid next to the blue cube.” To succeed in such tasks, the computer must build up semantic knowledge iteratively, a process Winograd discovered was brittle and … [Read more...] about 4 Approaches To Natural Language Processing & Understanding
Artificial intelligence has reached peak hype. News outlets report that companies have replaced workers with IBM Watson and algorithms are beating doctors at diagnoses. New A.I. startups pop up every day and claim to solve all your personal and business problems with machine learning.Ordinary objects like juicers and wifi routers suddenly advertise … [Read more...] about Understanding The Limits Of Deep Learning
Planning to Netflix & Chill this weekend? The movie you choose to watch may be heavily influenced by Netflix’s sophisticated algorithms. Similarly, decisions like where you choose to dine and what you choose to wear are increasingly facilitated by predictive technologies powered by deep learning.Here are five ways that popular consumer tech companies Netflix, Yelp, … [Read more...] about 5 Ways Deep Learning Improves Your Daily Life
Deep learning is not a beginner-friendly subject, even for experienced software engineers and data scientists. If you’ve been Googling the subject and confused by the content you’ve come across, you’ll want to check out the recommended resources we’ve compiled for you.These educational resources include online courses, in-person courses, as well as books and videos. All are … [Read more...] about How To Get The Best Deep Learning Education For Free