Онлайн курс
После бесплатной регистрации Вам будут доступны другие уроки и курсы данного автора:
- Lesson 0. Introduction to Aritificial Intelligence
- Lesson 1. Tools for Deep Learning
- Lesson 1. Python basics
- Lesson 1. Linux and Bash basics
- Lesson 2. Linear algebra basics
- Lesson 3. Intro to Machine Learning
- Lesson 4. Optimization basics: derivative and gradient
- Lesson 4. Linear models and Gradient Descent
- Lesson 5. Model of a Neuron
- Lesson 6. Multilayer Neural Networks
- Lesson 6. Multiclass classification
- Lesson 6. Error Backpropagation
- Lesson 7. Neural Networks training (part 1)
- Lesson 7. Neural Networks training (part 2)
- Lesson 8. Convolutional Neural Networks
- Lesson 8. Convolutional Neural Networks (practice 1)
- Lesson 8. Convolutional Neural Networks (practice 2)
- Lesson 9. Neural Network architectures
- Lesson 9. Transfer Learning
- 10. Applications in Computer Vision: Segmentation
- 10. Applications in Computer Vision: Object Detection
- 10. Applications in Computer Vision: Style Transfer
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