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Application Announcement: closed
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Website (officially released in early 2019)
The 3rd edition of course.fast.ai - coming in 2019. This 7-week course is designed for anyone with at least a year of coding experience, and some memory of high-school math. The course is taught in Python, using the fastai library and PyTorch. You will start with step one—learning how to get a GPU server online suitable for deep learning—and go all the way through to creating state of the art, highly practical, models for computer vision, natural language processing, and recommendation systems.
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Forum (suitable for people who have not studied deep learning before)
Many topics, including:
- image recognition
- multi-label image classification
- different kind of images
- Convolutional Neural Networks (CNNs)
- image segmentation with U-Net
- overfitting
- embeddings
- collaborative filtering: recommendation systems
- Natural Language Processing (NLP)
- language model, sentiment analysis
- text classification
- Recurrent Neural Networks (RNNs)
- RNN architecture from scratch
- tabular/structured data
- time-series prediction using neural network
- CNN architecture
- back to computer vision
- CNN in-depth and ResNets from scratch