CS231N Staff

@cs231n

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

Stanford
cs231n.stanford.edu
Participa desde outubro de 2014
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  1. 23 de mar de 2016

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

    3 respostas 19 retweets 61 curtiram
  2. 15 de mar de 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 respostas 10 retweets 57 curtiram
  3. 9 de mar de 2016

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

    3 respostas 8 retweets 60 curtiram
  4. 7 de mar de 2016

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

    5 retweets 10 curtiram
  5. 2 de mar de 2016

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

    6 respostas 12 retweets 55 curtiram
  6. 2 de mar de 2016

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

    1 resposta 8 retweets 21 curtiram
  7. 18 de fev de 2016

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

    1 resposta 4 retweets 24 curtiram
  8. 17 de fev de 2016

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

    5 retweets 15 curtiram
  9. 10 de fev de 2016

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

    1 retweet 2 curtiram
  10. retweetou
    6 de fev de 2016

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

    1 resposta 7 retweets 32 curtiram
  11. 5 de fev de 2016
    Em resposta a

    Thanks ! Glad you're enjoying the course 😊

    Shout out to Andrej and the cs231n teaching staff. Most well put-together course notes and psets ever. And great lectures!
    1 resposta 1 retweet 5 curtiram
  12. retweetou
    5 de fev de 2016

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

    4 retweets 7 curtiram
  13. 3 de fev de 2016

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

    1 resposta 6 retweets 22 curtiram
  14. 2 de fev de 2016

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

    7 retweets 19 curtiram
  15. retweetou
    2 de fev de 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

    8 respostas 7 retweets 25 curtiram
  16. 1 de fev de 2016

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

    3 curtiram
  17. 1 de fev de 2016

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

    5 retweets 24 curtiram
  18. 13 de jan de 2016
    Em resposta a

    @keira1412 fixing this, it's a bug.

  19. 6 de jan de 2016

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

    4 respostas 55 retweets 87 curtiram
  20. retweetou
    4 de jan de 2016

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

    Our first lecture of (ConvNets class) - intro by today. 300 enrolled! We'll have videos this year.
    1 resposta 19 retweets 40 curtiram

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