Explore the capabilities and limitations of TensorFlow in this comprehensive 59-minute conference talk. Gain insights into the required knowledge for using TensorFlow, understand its principal concepts and components, and learn about its methods and applications in AI. Discover whether TensorFlow is a silver bullet for AI or if it requires extensive preliminary knowledge. Delve into topics such as tensors, GPU computing, deep learning, computer vision, and natural language processing. By the end of the talk, acquire a clear understanding of TensorFlow's potential and limitations, enabling you to begin your journey with the library and apply it to various AI challenges.

Syllabus

Introduction
Natural Neural Networks
Build a Computational Graph
Running a Computational Graph
Placeholders
Loss Function
Classification Tasks
Computational Graph
Different levels of abstraction
Deep neural network classifier
Convolutional neural networks
Building a convolutional network
Recap
ImageNet