CS231N Staff

@cs231n

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

Stanford
cs231n.stanford.edu
Se unió en octubre de 2014
11 fotos y videos Fotos y vídeos

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  1. 23 mar. 2016

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

    3 respuestas 19 retweets 61 Me gusta
  2. 15 mar. 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 respuestas 10 retweets 57 Me gusta
  3. 9 mar. 2016

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

    3 respuestas 8 retweets 60 Me gusta
  4. 7 mar. 2016

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

    5 retweets 10 Me gusta
  5. 2 mar. 2016

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

    6 respuestas 12 retweets 55 Me gusta
  6. 2 mar. 2016

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

    1 respuesta 8 retweets 21 Me gusta
  7. 18 feb. 2016

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

    1 respuesta 4 retweets 24 Me gusta
  8. 17 feb. 2016

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

    5 retweets 15 Me gusta
  9. 10 feb. 2016

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

    1 retweet 2 Me gusta
  10. retwitteó
    6 feb. 2016

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

    1 respuesta 7 retweets 32 Me gusta
  11. 5 feb. 2016
    En respuesta 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 respuesta 1 retweet 5 Me gusta
  12. retwitteó
    5 feb. 2016

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

    4 retweets 7 Me gusta
  13. 3 feb. 2016

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

    1 respuesta 6 retweets 22 Me gusta
  14. 2 feb. 2016

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

    7 retweets 19 Me gusta
  15. retwitteó
    2 feb. 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 respuestas 7 retweets 25 Me gusta
  16. 1 feb. 2016

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

    3 Me gusta
  17. 1 feb. 2016

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

    5 retweets 24 Me gusta
  18. 13 ene. 2016
    En respuesta a

    @keira1412 fixing this, it's a bug.

  19. 6 ene. 2016

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

    4 respuestas 55 retweets 87 Me gusta
  20. retwitteó
    4 ene. 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 respuesta 19 retweets 40 Me gusta

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