# Deep Learning Part 1: Practical Deep Learning for Coders

- [Deep Learning Part 1: 2018 Edition (v2)](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/deep-learning-part-1-practical-deep-learning-for-coders/2018-edition.md)
- [Lesson 1](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/deep-learning-part-1-practical-deep-learning-for-coders/2018-edition/lesson-1.md)
- [Deep Learning Part 1: 2019 Edition (v3)](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/deep-learning-part-1-practical-deep-learning-for-coders/2019-edition.md)
- [Lesson 1 - Image Recognition](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/deep-learning-part-1-practical-deep-learning-for-coders/2019-edition/lesson-1-image-recognition.md)
- [Lesson 2 - Computer Vision: Deeper Applications](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/deep-learning-part-1-practical-deep-learning-for-coders/2019-edition/lesson-2-deeper-dive-into-cv.md)
- [Lesson 3 - Multi-label, Segmentation, Image Regression, and More](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/deep-learning-part-1-practical-deep-learning-for-coders/2019-edition/lesson-3-multilabel-segmentation.md)
- [Lesson 4 - NLP, Tabular, and Collaborative Filtering](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/deep-learning-part-1-practical-deep-learning-for-coders/2019-edition/lesson-4-nlp-tabular-collab.md)
- [Lesson 5 - Foundations of Neural Networks](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/deep-learning-part-1-practical-deep-learning-for-coders/2019-edition/lesson-5-foundations-neural-nets.md)
- [Lesson 6 - Foundations of Convolutional Neural Networks](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/deep-learning-part-1-practical-deep-learning-for-coders/2019-edition/lesson-6-foundations-convolutional-neural-nets.md)
- [Lesson 7 - ResNets, U-Nets, GANs and RNNs](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/deep-learning-part-1-practical-deep-learning-for-coders/2019-edition/lesson-7-resnet-unet-gan-rnn.md)


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