Pluralsight – Building Machine Learning Solutions with TensorFlow 2.0 2022-5

Building Machine Learning Solutions with TensorFlow 2.0Google released TensorFlow 2.0 in October 2019 which uses the dynamic graph and is more Python friendly. There are multiple changes to ensure removal of redundant APIs and better integration with Python runtime and Eager Execution. Learn everything you need to know to get started with Tensorflow 2.0. Step up your TensorFlow understanding by learning how to design data pipelines and implement hyperparameter tuning for Tensorflow 2.0. Learn how to build a machine learning workflow with Keras and work with time series data to generate high performing forecasts and predictions.

What you’ll learn

• Design and implementation of machine learning solutions using TensorFlow 2.0
• Designing optimal Data pipelines
• Applying Tensorflow to more advanced problems spaces, such as image recognition, language modeling, and predictive analytics

Specificatoin of Building Machine Learning Solutions with TensorFlow 2.0

• Publisher : Pluralsight
• Teacher : Janani Ravi
• Language : English
• Level : All Levels
• Number of Course : 5
• Duration : 13 hours

Content of Building Machine Learning Solutions with TensorFlow 2.0

Requirements

• Machine Learning Literacy
• Python Programming

Pictures

Sample Clip

Installation Guide

Extract the files and watch with your favorite player

Subtitle : English

Quality: 720p

Download Links

Download Part 1 – 1 GB

Download Part 2 – 729 MB

File size

1.71 GB