# fast.ai - [fast.ai](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/fast.ai.md) - [Deep Learning Part 1: Practical Deep Learning for Coders](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/deep-learning-part-1-practical-deep-learning-for-coders.md) - [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) - [Deep Learning Part 2: Cutting Edge Deep Learning for Coders](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/deep-learning-part-2-cutting-edge-deep-learning-for-coders.md) - [Deep Learning Part 2: 2017 Edition (v1)](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/deep-learning-part-2-cutting-edge-deep-learning-for-coders/2017-edition.md) - [Lesson 8 - Artistic Style](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/deep-learning-part-2-cutting-edge-deep-learning-for-coders/2017-edition/lesson-8-artistic-style.md) - [Lesson 9 - Generative Models](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/deep-learning-part-2-cutting-edge-deep-learning-for-coders/2017-edition/lesson-9-generative-models.md) - [Lesson 10 - Multi-modal & GANs](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/deep-learning-part-2-cutting-edge-deep-learning-for-coders/2017-edition/lesson-10-multi-modal-and-gans.md) - [Lesson 11 - Memory Networks](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/deep-learning-part-2-cutting-edge-deep-learning-for-coders/2017-edition/lesson-11-memory-networks.md) - [Lesson 12 - Attentional Models](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/deep-learning-part-2-cutting-edge-deep-learning-for-coders/2017-edition/lesson-12-attentional-models.md) - [Lesson 13 - Neural Translation](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/deep-learning-part-2-cutting-edge-deep-learning-for-coders/2017-edition/lesson-13-neural-translation.md) - [Lesson 14 - Time Series & Segmentation](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/deep-learning-part-2-cutting-edge-deep-learning-for-coders/2017-edition/lesson-14-time-series-and-segmentation.md) - [Deep Learning Part 2: 2018 Edition (v2)](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/deep-learning-part-2-cutting-edge-deep-learning-for-coders/2018-edition.md) - [Lesson 8 - Object Detection](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/deep-learning-part-2-cutting-edge-deep-learning-for-coders/2018-edition/lesson-8-object-detection.md) - [Lesson 9 - Single Shot Multibox Detector (SSD)](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/deep-learning-part-2-cutting-edge-deep-learning-for-coders/2018-edition/lesson-9-multi-object-detection.md) - [Lesson 10 - Transfer Learning for NLP and NLP Classification](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/deep-learning-part-2-cutting-edge-deep-learning-for-coders/2018-edition/lesson-10-transfer-learning-nlp.md) - [Lesson 11 - Neural Translation; Multi-modal Learning](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/deep-learning-part-2-cutting-edge-deep-learning-for-coders/2018-edition/lesson-11-neural-translation.md) - [Lesson 12 - DarkNet; Generative Adversarial Networks (GANs)](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/deep-learning-part-2-cutting-edge-deep-learning-for-coders/2018-edition/lesson-12-gan.md) - [Lesson 13 - Image Enhancement; Style Transfer; Data Ethics](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/deep-learning-part-2-cutting-edge-deep-learning-for-coders/2018-edition/lesson-13-image-enhancement.md) - [Lesson 14 - Super Resolution; Image Segmentation with U-Net](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/deep-learning-part-2-cutting-edge-deep-learning-for-coders/2018-edition/lesson-14-image-segmentation.md) - [Machine Learning: Intro to Machine Learning for Coders](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/machine-learning-intro-to-machine-learning-for-coders.md) - [Machine Learning: 2017 Edition](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/machine-learning-intro-to-machine-learning-for-coders/2017-edition.md) - [Lesson 1 - Introduction to Random Forests](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/machine-learning-intro-to-machine-learning-for-coders/2017-edition/lesson-1-intro-random-forests.md) - [Lesson 2 - Random Forest Deep Dive](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/machine-learning-intro-to-machine-learning-for-coders/2017-edition/lesson-2-random-forest-deep-dive.md) - [Lesson 3 - Feature Engineering](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/machine-learning-intro-to-machine-learning-for-coders/2017-edition/lesson-3-feature-engineering.md) - [Lesson 4 - Random Forest Interpretation](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/machine-learning-intro-to-machine-learning-for-coders/2017-edition/lesson-4-random-forest-interpretation.md) - [Lesson 5 - Train vs Test](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/machine-learning-intro-to-machine-learning-for-coders/2017-edition/lesson-5-train-vs-test.md) - [Lesson 6 - What is Machine Learning and Why Do We Use It](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/machine-learning-intro-to-machine-learning-for-coders/2017-edition/lesson-6-what-is-machine-learning-and-why-do-we-use-it.md) - [Lesson 7 - Decision Trees Ensemble](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/machine-learning-intro-to-machine-learning-for-coders/2017-edition/lesson-7-decision-trees-ensemble.md) - [Lesson 8 - Basic Neural Networks](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/machine-learning-intro-to-machine-learning-for-coders/2017-edition/lesson-8-basic-neural-networks.md) - [Lesson 9 - SGD; Neural Network Training; Broadcasting](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/machine-learning-intro-to-machine-learning-for-coders/2017-edition/lesson-9-sgd-neural-network-training-broadcasting.md) - [Lesson 10 - Logistic Regression; NLP; Naive Bayes](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/machine-learning-intro-to-machine-learning-for-coders/2017-edition/lesson-10-logistic-regression-nlp-naive-bayes.md) - [Lesson 11 - Structured and Time-Series Data](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/machine-learning-intro-to-machine-learning-for-coders/2017-edition/lesson-11-structured-and-time-series-data.md) - [Lesson 12 - Entity Embeddings; Data Science and Ethics](https://cedrickchee.gitbook.io/knowledge/courses/fast.ai/machine-learning-intro-to-machine-learning-for-coders/2017-edition/lesson-12-entity-embeddings-data-science-and-ethics.md) --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://cedrickchee.gitbook.io/knowledge/courses/fast.ai.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.