Applied AI: Classify Art Using Deep Learning
summary
Shows how to build and train convolutional neural networks to classify artwork using Keras on top of TensorFlow, without requiring detailed linear algebra. Explains scaling those models with Apache Spark and GPUs using frameworks like DeepLearning4J, Apache SystemML, or IBM Watson Machine Learning.
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chapters (8)
- 0:00AI and art intro
- 3:24Machine learning basics
- 7:47Image classification
- 10:40Convolutional neural networks
- 13:36Training neural networks
- 16:26Frameworks and tools
- 19:23Optimizing models
- 22:10AI services and apps
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