Tensorflow: Designing neural networks
summary
An introduction to TensorFlow covering its core architecture and tooling, contrasting it with other machine-learning libraries, and explaining how it supports deep learning and reinforcement learning models. It also presents designing and applying TensorFlow models for affective computing, including data and network architecture modeling.
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chapters (8)
- 0:00TensorFlow introduction
- 2:10Graphical interface design
- 8:12Tensor key concepts
- 13:32Variables and sessions
- 16:24Getting started tips
- 21:29NASA project case study
- 30:18Elf classification demo
- 35:33Q&A
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