Overview
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Explore the world of machine learning and deep learning through this informative 31-minute conference talk. Discover how Keras, a high-level neural networks API, is making artificial intelligence more accessible to developers and businesses alike. Learn about the key features of Keras, including its user-friendly interface, consistent APIs, and compatibility with popular backends like TensorFlow, CNTK, and Theano. Gain insights into various model building techniques, including Sequential and Functional APIs, as well as model subclassing. Understand the process of training, validating, and saving models using Keras. Delve into TensorFlow integration, distribution strategies, and timeline execution. By the end of this talk, grasp how Keras is lowering the barrier to entry for implementing state-of-the-art deep learning models to solve real-world problems, potentially democratizing AI opportunities for businesses across various industries.
Syllabus
Introduction
Outline
Machine Learning
Deep Learning
What is Keras
Why should you use Keras
Who writes Keras
Brief history
Sample companies
Keras API
Model Building
Sequential Model
Training and Saving
Training
Data Validation
Saving
Functional API
Functional API Example
Model Subclasses
Tensorflow Integration
Estimator
Functional Model
Gigger Execution
TensorFlow Distribution Strategy
Timeline
Conclusion
Questions
Taught by
WeAreDevelopers