LinkedIn AI Academy AI-100: 2 Supervised Learning with Neural Networks
1h 9mIntermediate2023-05-04
Authors
Ananth Sankar
Daniel Hewlett
Course details
AI is one of the most important but least understood fields in the world. It’s changing the way we think about business, but it’s changing so fast that it’s hard to keep track. This course, taught by LinkedIn engineers Ananth Sankar and Daniel Hewlett, shows how neural networks and deep learning have transformed AI in the last decade, enabling applications that were previously impossible. Ananth and Daniel cover some of the most popular neural network architectures. They discuss key topics like simple linear classification neural networks, convolutional neural networks, and sequence learning, as well as graph neural networks and how you can apply them to make predictions about social network graphs.
Skills covered
Neural Networks and Deep LearningMachine LearningArtificial Intelligence FoundationsArtificial Intelligence (AI)One-Off
Concepts
0. Introduction
- 01 - The LinkedIn AI Academy - Neural networks are the heart of AI
1. Deep Neural Networks
- 02 - Neuron - Basic element of neural net
- 03 - Neural nets and nonlinearly separable classification
- 04 - Multiclass deep neural networks
2. Convolutional Networks
- 05 - What is a convolutional filter
- 06 - Deep convolutional neural networks
- 07 - Transfer learning
3. Sequence Classifiers
- 08 - Modeling sequences with language models
- 09 - Recurrent neural network language models
- 10 - Machine translation and encoder-decoder networks
- 11 - Attention-based neural networks
- 12 - Transformer model
- 13 - Pretrained language models
4. Graph Neural Networks
- 14 - Motivation and introduction
- 15 - Node embeddings
- 16 - Graph neural networks
Conclusion
- 17 - Continuing the AI-100 learning path