Dive into the fundamentals of TensorFlow in this 30-minute ML Tech Talk by Wolff Dobson. Explore six essential components: tensors, variables, gradient tape, modules, training loops, and tf.function. Designed for those familiar with basic Machine Learning concepts, gain a comprehensive overview of TensorFlow's core elements without relying on high-level APIs. Follow along as the talk progresses through each topic, starting with an introduction and concluding with practical insights. Benefit from additional resources, including executable code on Google Colab, to further enhance your understanding of TensorFlow's building blocks.
Overview
Syllabus
- Intro and outline
- Tensors
- Variables
- Gradient tape
- Modules
- Training loops
- tf.function
- Conclusion
Taught by
TensorFlow
