TensorFlow training on the JVM
summary
Shows how to run TensorFlow training and inference from the JVM using the TensorFlow Java wrapper library so you don’t need Python. Explains integrating TensorFlow’s C++ engine with existing JVM interfaces, data sources and infrastructure, with code examples in Kotlin (applicable to any JVM language).
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chapters (7)
- 0:00Introduction
- 12:41AI definitions and neural nets
- 20:00TensorFlow basics and architecture
- 30:17TensorFlow on JVM
- 39:47TensorFlow Java API details
- 49:25Training and model execution
- 55:29BERT and language models
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