LONESTAR
ACADEMY
Courses
Log In
Join Free
Home
Courses
IT: Artificial Intelligence & Data
Deep Learning Model Engineering
Curriculum
1 Section
21 Lessons
30 hours
Expand all sections
Collapse all sections
Unit 3 — Deep Learning Model Engineering
21
1.1
Understanding TensorFlow
20 mins
1.2
Interpreting Learning as Optimization
20 mins
1.3
Switching to Probabilities
20 mins
1.4
Struggling with Overfitting
20 mins
1.5
Improving Processing Speed
20 mins
1.6
Detecting Edges and Shapes from Images
20 mins
1.7
Overcoming Adversarial Attacks on Deep Learning Applications
20 mins
1.8
Using AI for Sentiment Analysis
20 mins
1.9
Performing Real-Time Behavior Analysis
20 mins
1.10
Dynamically Computing Graphs with Chainer
20 mins
1.11
Developing New Devices
20 mins
1.12
Overcoming Deep Learning Hype
20 mins
1.13
Creating the Application
20 mins
1.14
Guessing the Right Features
20 mins
1.15
Explaining Deep Learning Differences from Other Forms of AI
20 mins
1.16
Translating Languages
20 mins
1.17
Creating a MATLAB-Like Environment with Torch
20 mins
1.18
Providing Customer Support
20 mins
1.19
Understanding the Use of Indentation
20 mins
1.20
Learning One Example at a Time
20 mins
1.21
Finding Even Smarter Solutions
20 mins
This content is protected, please
login
and
enroll
in the course to view this content!
S
Ask SIERA
YOUR DIGITAL ASSISTANT
×
Modal title
Main Content