Главная
Study mode:
on
1
Intro
2
The problem with AI
3
Programming vs Machine Learning
4
Artificial Intelligence
5
Hello World
6
Programming
7
Example Problem
8
Logistic Regression
9
The Matrix
10
Max Index
11
Double Use
12
Thought Experiment
13
Gradient Descent
14
TensorFlow
15
Accuracy
16
Output
17
Deep Learning
Description:
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.

Deep Learning with TensorFlow

NDC Conferences
Add to list
0:00 / 0:00