deeplearning.ai

@deeplearningai_

Vrijeme pridruživanja: svibanj 2018.

Medijski sadržaj

  1. Our January events featured data scientists, PhD candidates, research scientists, and AI strategists who spoke about their career paths and the AI applications they're working on. And we've got more in February! Check out our upcoming events:

  2. 3. velj

    train_test_split every day all day creds:

  3. 28. sij

    Test your image classification model with your phone camera! Learn how to deploy models with TensorFlow Lite:

  4. 27. sij

    recaptcha is getting out of hand creds: debojeet chatterjee

  5. 23. sij

    Backpropagation and labeled data are the bread and butter of deep learning. But recent research from the University of Amsterdam suggests neither is necessary to train effective neural networks to represent complex data:

  6. 22. sij

    This week in AI, algorithms design living machines, AI interviews job applicants, Youtube's recommender spreads misinformation, and researchers ditch backpropagation. Catch up on the news in The Batch:

  7. 22. sij

    Course 3 of the TensorFlow: Data and Deployment Specialization is out on ! Machine learning is powered by data, but it's often frustrating to handle. This course will teach you to more effectively manage data in TensorFlow. Enroll here:

  8. 21. sij

    Get your model running on iOS and Android devices. Walk through the basic steps in Course 2 of the TensorFlow: Data and Deployment Specialization:

  9. 20. sij

    well yes, but actually no

  10. 16. sij

    Want the tl;dr version of AI's overwhelming presence at ? We highlighted the weirdest and coolest products, from half-baked concepts like abnormal cat litter recognition to futuristic prototypes like Samsung's virtual assistants:

  11. 15. sij

    In this week's The Batch, AI dominates CES, Hollywood predicts blockbusters, Washington regulates AI, and neural nets study math:

  12. 15. sij

    From Kathmandu to Tokyo: In December, we held 11 Pie & AI events in 11 cities, thanks to our amazing event ambassadors! Where will we be this month? Stay in the loop:

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  13. 14. sij

    "Automatic summarization is one of the most important, yet least solved, tasks in natural language processing." Learn why thinks so and what solutions the team is working on:

  14. 13. sij

    Sounds like a great decade to us but we might be a little biased

  15. 9. sij

    Recent language models like BERT and ERNIE rely on trendy layers based on transformer networks and require lots of compute. Deep learning researcher shows these layers and enormous GPUs may not be necessary:

  16. 9. sij

    Dear deep learners: A quick update on Course 3 & 4 of the TensorFlow: Data and Deployment Specialization. We’re a bit behind schedule but are on track to release C3 by end of January and C4 by end of February so that you can continue learning. Thanks for your patience!

  17. 7. sij

    What's next for AI? says: "In 2020, I expect self-supervised methods to learn features of video and images. Could there be a similar revolution in high-dimensional continuous data like video?" Read more:

  18. 6. sij

    New year's resolution: read more papers!

  19. 2. sij

    "It's time to explore other ways to learn: training on unlabeled data, lifelong learning, and especially letting models explore a simulated environment before transferring to the real world." Read 's hopes for AI research in 2020:

  20. 1. sij

    New year, new dreams. , , , , and other AI luminaries tell you their hopes for AI in 2020 in our special new year's issue of The Batch:

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