Repo for the course "Fundamentals of Deep Learning with Pytorch"
Syllabus (subject to change)
- Lesson 1: review of machine learning, intro to pytorch
- Lesson 2: tabular data, neural networks, effective training of neural networks
- Lesson 3-4: text classification, word embeddings, convolutional neural networks for text, recurrent neural networks, seq2seq networks, seq2seq with attention
- Lesson 5-6: image classification, convolutional neural networks, data augmentation, transfer learning
- Lesson 7: image captioning, BERT / transformers