Description
Building Machine Learning Solutions with TensorFlow 2.0, the training course for building machine learning solutions with TensorFlow 2.0 is published by Pluralsight Academy. In October 2019, Google released TensorFlow 2.0, which uses a dynamic graph and is more compatible with Python. There are several changes to ensure the removal of redundant APIs and better integration with the Python runtime and Eager Execution. Learn everything you need to know to get started with Tensorflow 2.0. Enhance your understanding of TensorFlow 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-performance forecasts and predictions.
What you will learn
- Design and implementation of machine learning solutions using TensorFlow 2.0
- Designing optimal data pipelines
- Using TensorFlow in more advanced problem spaces, such as image recognition, language modeling, and predictive analytics
Building Machine Learning Solutions with TensorFlow 2.0 course specifications
- Publisher: Pluralsight
- teacher : Janani Ravi
- English language
- Education level: all levels
- Number of courses: 5
- Training duration: 13 hours
Head of the seasons
Course prerequisites
- Machine Learning Literacy
- Python Programming
Pictures
Sample video
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
1.71 GB
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