CS231N Staff

@cs231n

Convolutional Neural Networks for Visual Recognition. computer science class taught by , , and Justin Johnson.

Stanford
Vrijeme pridruživanja: listopad 2014.

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  1. 23. ožu 2016.

    We've just posted this year's final course project reports online! big congrats to students!

  2. 15. ožu 2016.

    We get about 10,000 visitors per day to our CS231n website. A lot of people looking to learn about Computer Vision/ConvNets/Deep Learning!

  3. 9. ožu 2016.

    The CS231n team during our class-nearing-to-an-end debrief, exhausted right after the poster session :)

  4. 7. ožu 2016.

    Our final project poster session is coming up soon! Come see 200 from 300 students on Wednesday at 2pm

  5. 2. ožu 2016.

    We're excited to have Jeff Dean, co-founder 's deep learning team, guest lecture today! Video coming soon.

  6. 2. ožu 2016.

    Using in practice: an overview of deep learning libraries Caffe, Torch, Theano, and TensorFlow

  7. 18. velj 2016.

    Learn about using ConvNets in practice! Data augmentation, transfer learning CPU/GPU bottlenecks, and more

  8. 17. velj 2016.

    CS231n Assignment #3 is out. Implement image captioning CNN+RNN, Fooling images, DeepDream & more!

  9. 10. velj 2016.

    It's midterm day! Good luck to all our students!

  10. proslijedio/la je Tweet
    6. velj 2016.

    Awesome series of videos on deep learning from by .. Discussing research on ConvNets published as recent as Dec 2015

  11. 5. velj 2016.
    Odgovor korisniku/ci
  12. proslijedio/la je Tweet
    5. velj 2016.

    Fun fact from 's : rmsprop made its first appearance in a slide in Hinton's NN course

  13. 3. velj 2016.

    "" by Van Gogh ConvNet visualizations, DeepMind, neural style, adversarial examples

  14. 2. velj 2016.

    ConvNets are used not only for image classification but also detection/localization. Watch Justin Johnson's lecture:

  15. proslijedio/la je Tweet
    2. velj 2016.

    Writing CS231n midterm; True/False fun: It's sufficient for symmetry breaking in a Neural Net to init all W to 0, provided biases are random

  16. 1. velj 2016.

    We received almost 200 ConvNet/computer vision project proposals from students over the weekend. Lots of interesting and innovative ideas!

  17. 1. velj 2016.

    After covering fundamentals, we finally began studying last week Watch the lecture

  18. 13. sij 2016.
    Odgovor korisniku/ci

    @keira1412 fixing this, it's a bug.

  19. 6. sij 2016.

    We're very excited to offer the class again! This time the class is also recorded. First two videos are now up:

  20. proslijedio/la je Tweet
    4. sij 2016.

    First class of the new year! Co-teaching on the topic of deep learning and vision with and Justin Johnson.

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