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TORRENT DETAILS
Lynda - Learning TensorFlow With JavaScript [AhLaN]
TORRENT SUMMARY
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JavaScript developers can use the TensorFlow framework to create a machine learning (ML) project. This course introduces you to ML basics, and demonstrates how to set up and use TensorFlow to train a model and generate live results. Emmanuel Henri shows how to create a new project; how to work with different tensor types, variables, models, and layers; how to import a project and explore datasets; how TensorFlow executes model training; how to convert a saved model for the web; and more.
Topics include:
Using TensorFlow
Machine learning (ML) basics
Creating a project with TensorFlow
Working with tensors and variables
TensorFlow ML operations
Working with models and layers
Importing a project
Exploring datasets
Training a model
Using Python-based models in JS
Converting SavedModel to web
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FILE LIST
Filename
Size
1 - Introduction/01 - Learning TensorFlow.mp4
5.3 MB
1 - Introduction/02 - Course prerequisites.mp4
1.2 MB
2 - 1. Introduction and Setup/03 - Introduction to TensorFlow.mp4
3.3 MB
2 - 1. Introduction and Setup/04 - Differences between versions.mp4
1.9 MB
2 - 1. Introduction and Setup/05 - Introduction to machine learning.mp4
4.6 MB
2 - 1. Introduction and Setup/06 - A TensorFlow demo.mp4
9.3 MB
2 - 1. Introduction and Setup/07 - Initial project creation with TensorFlow.mp4
12.3 MB
3 - 2. TensorFlow Basics/08 - Your first tensor.mp4
6.7 MB
3 - 2. TensorFlow Basics/09 - Tensors and variables.mp4
11.4 MB
3 - 2. TensorFlow Basics/10 - Operations, or ops.mp4
15 MB
3 - 2. TensorFlow Basics/11 - Model introduction.mp4
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