CS231N Staff

@cs231n

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

Stanford
cs231n.stanford.edu
Inscrit en octobre 2014
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  1. 23 mars 2016

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

    3 réponses 19 Retweets 61 j'aime
  2. 15 mars 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 réponses 10 Retweets 57 j'aime
  3. 9 mars 2016

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

    3 réponses 8 Retweets 60 j'aime
  4. 7 mars 2016

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

    5 Retweets 10 j'aime
  5. 2 mars 2016

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

    6 réponses 12 Retweets 55 j'aime
  6. 2 mars 2016

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

    1 réponse 8 Retweets 21 j'aime
  7. 18 févr. 2016

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

    1 réponse 4 Retweets 24 j'aime
  8. 17 févr. 2016

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

    5 Retweets 15 j'aime
  9. 10 févr. 2016

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

    1 Retweet 2 j'aime
  10. a retweeté
    6 févr. 2016

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

    1 réponse 7 Retweets 32 j'aime
  11. 5 févr. 2016
    En réponse à

    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 réponse 1 Retweet 5 j'aime
  12. a retweeté
    5 févr. 2016

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

    4 Retweets 7 j'aime
  13. 3 févr. 2016

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

    1 réponse 6 Retweets 22 j'aime
  14. 2 févr. 2016

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

    7 Retweets 19 j'aime
  15. a retweeté
    2 févr. 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 réponses 7 Retweets 25 j'aime
  16. 1 févr. 2016

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

    3 j'aime
  17. 1 févr. 2016

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

    5 Retweets 24 j'aime
  18. 13 janv. 2016
    En réponse à

    @keira1412 fixing this, it's a bug.

  19. 6 janv. 2016

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

    4 réponses 55 Retweets 87 j'aime
  20. a retweeté
    4 janv. 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 réponse 19 Retweets 40 j'aime

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