Learn Tensorflow from Pluralsight
Pluralsight offers you 29 courses, to learn Tensorflow now!
Pluralsight, is an American publicly held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 6,500 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.
Pluralsight
Intermediate
Video
English
3h 15m
Build a Machine Learning Workflow with Keras TensorFlow 2.0
This course focuses on Keras as part of the TensorFlow 2.0 ecosystem^ including sequential APIs to build relatively straightforward models of stacked layers^ functional APIs for more complex models^ and model subclassing and custom layers.
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Intermediate
Video
English
1h 53m
Designing Data Pipelines with TensorFlow 2.0
This course will evaluate one of the largest changes from TensorFlow 1.0 to TensorFlow 2.0 – the tf.data module. This simplified and unified interface makes managing data pipelines easier with tf.data.
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All Levels
Video
English
3h 16m
End-to-End Machine Learning with TensorFlow on GCP
This course is set up as a workshop where you will do End-to-End Machine Learning with TensorFlow on Google Cloud Platform. It involves building an end-to-end model from data exploration all the way to deploying an ML model and getting …
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Beginner
Video
English
3h 9m
Getting Started with Tensorflow 2.0
This course focuses on introducing the TensorFlow 2.0 framework - exploring the features and functionality that it offers for building and training neural networks. This course discusses how TensorFlow 2.0 differs from TensorFlow 1.x and how the use of the …
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All Levels
Video
English
3h 0m
Introduction to TensorFlow
In this course^ you will learn how to create machine learning models in TensorFlow which is the tool we will use to write machine learning programs. You’ll learn how to use the TensorFlow libraries to solve numerical problems.
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Intermediate
video
English
4h 46m
ng-conf 19: Introduction to Machine Learning with TensorFlow.js
Introduction to Machine Learning with TensorFlow.js | Asim Hussain
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Intermediate
Video
English
22m
Angular Denver 19: Machine Learning in Angular with TensorFlow.js
Angular Denver 2019 | Machine Learning in Angular with TensorFlow.js | Aaron Ma
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Intermediate
Video
English
2h 39m
Building Regression Models Using TensorFlow
Learn how the neurons in neural networks learn non-linear functions^ and how neural networks execute operations such as regression and classification in TensorFlow.
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Intermediate
Video
English
3h 2m
Building Unsupervised Learning Models with TensorFlow
Unsupervised learning techniques work with huge data sets to find patterns within the data. This course teaches you the details of clustering and autoencoding^ two versatile unsupervised learning techniques^ and how to implement them in TensorFlow.
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Intermediate
Video
English
2h 17m
Debugging and Monitoring TensorFlow Programs
This course goes deep into two specific tools in the TensorFlow toolkit - tfdbg and TensorBoard. These tools can be used to examine the internal state of TensorFlow programs and to visualize execution metrics and state.
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Intermediate
Video
English
2h 11m
Deploying TensorFlow Models to AWS^ Azure^ and the GCP
This course will show you how to take your TensorFlow model and deploy it locally or to the cloud platform of your choice- Azure^ AWS^ or the GCP.
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All Levels
Video
English
4h 20m
Image Understanding with TensorFlow on GCP
In this course^ we will take a look at different strategies for building an image classifier using convolutional neural networks. We ll improve the model s accuracy with augmentation^ feature extraction^ and fine-tuning hyperparameters while trying to avoid overfitting our …
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