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コース概要
- Backprop, modular models
- Logsum module
- RBF Net
- MAP/MLE loss
- Parameter Space Transforms
- Convolutional Module
- Gradient-Based Learning
- Energy for inference
- Objective for learning
- PCA, NLL
- Latent Variable Models
- Probabilistic LVM
- Loss Function
- Handwriting recognition
要求
Good grounding in basic machine learning. Programming skills in any language (ideally Python/R).
21 時間
お客様の声 (7)
The structure from first principles, to case studies, to application.
Margaret Webb - Department of Jobs, Regions, and Precincts
コース - Introduction to Deep Learning
The deep knowledge of the trainer about the topic.
Sebastian Gorg
コース - Introduction to Deep Learning
I think that if training would be done in polish it would allow the trainer to share his knowledge more efficient.
Radek
コース - Introduction to Deep Learning
Exercises after each topic were really helpful, despite there were too complicated at the end. In general, the presented material was very interesting and involving! Exercises with image recognition were great.
Dolby Poland Sp. z o.o.
コース - Introduction to Deep Learning
Topic. Very interesting!.
Piotr
コース - Introduction to Deep Learning
Trainers theoretical knowledge and willingness to solve the problems with the participants after the training.
Grzegorz Mianowski
コース - Introduction to Deep Learning
The topic is very interesting.
