Building and Deploying Deep Learning Applications with TensorFlow
Become an AI and Machine Learning Specialist, Part II,
TensorFlow is one of the most popular deep learning frameworks available. It's used for everything from cutting-edge machine learning research to building new features for the hottest start-ups in Silicon Valley. In this course, learn how to install TensorFlow and use it to build a simple deep learning model. After he shows how to get TensorFlow up and running, instructor Adam Geitgey demonstrates how to create and train a machine learning model, as well as how to leverage visualization tools to analyze and improve your model. Finally, he explains how to deploy models locally or in the cloud. When you wrap up this course, you'll be ready to start building and deploying your own models with TensorFlow.
Contents:
- Introduction
- 1. Setting Up TensorFlow
- 2. TensorFlow Overview
- 3. Creating a TensorFlow Model
- 4. Training a Model in TensorFlow
- 5. TensorBoard
- 6. Using a Trained TensorFlow
- Conclusion
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Length | 1h 46m |
Starts | On Demand (Start anytime) |
Cost | $29/month (Access to entire library- free trial available) |
From | LinkedIn Learning |
Instructor | Adam Geitgey |
Download Videos | Only via the LinkedIn Learning mobile app |
Language | English |
Subjects | Programming Data Science IT & Networking |
Tags | Machine Learning IT Big Data TensorFlow |
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Rating | Not enough ratings |
---|---|
Length | 1h 46m |
Starts | On Demand (Start anytime) |
Cost | $29/month (Access to entire library- free trial available) |
From | LinkedIn Learning |
Instructor | Adam Geitgey |
Download Videos | Only via the LinkedIn Learning mobile app |
Language | English |
Subjects | Programming Data Science IT & Networking |
Tags | Machine Learning IT Big Data TensorFlow |
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