Deep Learning with TensorFlow

Dive into the world of deep learning with TensorFlow in this comprehensive conference talk. Gain a strong foundation in creating and consuming deep learning models through an interactive discussion of the framework's basic elements. Explore key concepts such as artificial intelligence, programming vs. machine learning, and logistic regression. Learn about gradient descent, accuracy measurement, and the practical applications of deep learning. Suitable for beginners and those with basic understanding of deep learning concepts, no prior exposure to TensorFlow is required. Walk away with the knowledge to compose and implement deep learning machine learning models in your own applications.

Intro
The problem with AI
Programming vs Machine Learning
Artificial Intelligence
Hello World
Programming
Example Problem
Logistic Regression
The Matrix
Max Index
Double Use
Thought Experiment
Gradient Descent
TensorFlow
Accuracy
Output
Deep Learning