deep-learning-data-institute

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

Name		Name	Last commit message	Last commit date
Latest commit History 68 Commits
images		images
imgs		imgs
test_data		test_data
5_lab.ipynb		5_lab.ipynb
README.md		README.md
lesson1-intro.ipynb		lesson1-intro.ipynb
lesson2-tabular.ipynb		lesson2-tabular.ipynb
lesson3-cbow.ipynb		lesson3-cbow.ipynb
lesson3-cnn.ipynb		lesson3-cnn.ipynb
lesson4-lstm.ipynb		lesson4-lstm.ipynb
lesson4-rnn-name2lang.ipynb		lesson4-rnn-name2lang.ipynb
lesson4-seq2seq.ipynb		lesson4-seq2seq.ipynb
lesson5-image-cnn.ipynb		lesson5-image-cnn.ipynb
lesson6-muti-input.ipynb		lesson6-muti-input.ipynb
lesson6-muti-task-fish.ipynb		lesson6-muti-task-fish.ipynb
lesson7-bert_classification.ipynb		lesson7-bert_classification.ipynb
lesson7-image-segmentation.ipynb		lesson7-image-segmentation.ipynb

Provide feedback