Learning TensorFlow with JavaScript

44 ratings at LinkedIn Learning

Get introduced to TensorFlow and machine learning. Learn how you can leverage your JavaScript skills to create a machine learning project.

• LinkedIn Learning
• On-Demand
• Free Trial Available

Implementing Predictive Analytics with TensorFlow

20 ratings at Pluralsight

TensorFlow is a widely-used data science and machine learning software library. This course will teach you the basics of implementing predictive analytics using TensorFlow, including supervised learning, recommendation, and reinforcement systems.

• Pluralsight
• 1-2 hours
• On-Demand
• Free Trial Available

Build a Machine Learning Workflow with Keras TensorFlow 2.0

17 ratings at Pluralsight

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. 

• Pluralsight
• 3-4 hours
• On-Demand
• Free Trial Available

Introduction to TensorFlow

10 ratings at Pluralsight

This course is focused on using the flexibility and “ease of use” of TensorFlow 2.x and Keras to build, train, and deploy machine learning models.

• Pluralsight
• 1-2 hours
• On-Demand
• Free Trial Available

Deploying TensorFlow Models to AWS, Azure, and the GCP

13 ratings at Pluralsight

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.

• Pluralsight
• 2-3 hours
• On-Demand
• Free Trial Available

End-to-End Machine Learning with TensorFlow on GCP

10 ratings at Pluralsight

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 predictions from i…

• Pluralsight
• 3 hours 16 minutes
• On-Demand
• Free Trial Available

Designing Data Pipelines with TensorFlow 2.0

12 ratings at Pluralsight

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.

• Pluralsight
• 1-2 hours
• On-Demand
• Free Trial Available

Build deep learning models to classify data. In this course, you will learn how to create neural network models to solve classification problems. * Create models to classify data * Select the right activation function * Evaluate models with cross-ent…

• Codecademy
• 2 hours
• On-Demand
• Free Trial Available

Introduction to TensorFlow Lite

Learn how to deploy deep learning models on mobile and embedded devices with TensorFlow Lite.

• Udacity
• 8 weeks
• On-Demand
• Free Online Course

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. When writing programs, you…

• Pluralsight
• 3-4 hours
• On-Demand
• Free Trial Available

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.

• Pluralsight
• 3-4 hours
• On-Demand
• Free Trial Available

Serverless Machine Learning with Tensorflow on Google Cloud Platform

This course covers how to build, scale and operationalize machine learning models on Google Cloud Platform. You build ML models with TensorFlow, an open-source ML package and you can train and deploy them in a serverless way using Cloud ML Engine.

• Pluralsight
• 5 hours
• On-Demand
• Free Trial Available

TensorFlow on Google Cloud

This course covers designing and building a TensorFlow input data pipeline, building ML models with TensorFlow and Keras, improving the accuracy of ML models, writing ML models for scaled use, and writing specialized ML models.

• Pluralsight
• 1 hour 56 minutes
• On-Demand
• Free Trial Available

Learn TensorFlow and Deep Learning Fundamentals with Python - Code-First Introduction Part 1-2

Dive into TensorFlow and deep learning fundamentals with Python in this 10-hour, code-first introduction. Gain hands-on experience with regression and classification problems.

• YouTube
• 10 hours 15 minutes
• On-Demand
• Free Online Course

Learn TensorFlow and Deep Learning Fundamentals with Python - Code-First Introduction Part 2/2

Dive deeper into TensorFlow and deep learning with Python in this 3-4 hour continuation of a comprehensive series. Explore non-linearity, model evaluation, and multi-class classification.

• YouTube
• 3 hours 58 minutes
• On-Demand
• Free Online Course