Convolutional Neural Networks for Visual Recognition

Convolutional Neural Networks for Visual Recognition

Stanford University School of Engineering via YouTube Direct link

Lecture 2 | Image Classification

2 of 16

2 of 16

Lecture 2 | Image Classification

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Classroom Contents

Convolutional Neural Networks for Visual Recognition

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  1. 1 Lecture 1 | Introduction to Convolutional Neural Networks for Visual Recognition
  2. 2 Lecture 2 | Image Classification
  3. 3 Lecture 3 | Loss Functions and Optimization
  4. 4 Lecture 4 | Introduction to Neural Networks
  5. 5 Lecture 5 | Convolutional Neural Networks
  6. 6 Lecture 6 | Training Neural Networks I
  7. 7 Lecture 7 | Training Neural Networks II
  8. 8 Lecture 8 | Deep Learning Software
  9. 9 Lecture 9 | CNN Architectures
  10. 10 Lecture 10 | Recurrent Neural Networks
  11. 11 Lecture 11 | Detection and Segmentation
  12. 12 Lecture 12 | Visualizing and Understanding
  13. 13 Lecture 13 | Generative Models
  14. 14 Lecture 14 | Deep Reinforcement Learning
  15. 15 Lecture 15 | Efficient Methods and Hardware for Deep Learning
  16. 16 Lecture 16 | Adversarial Examples and Adversarial Training

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