Descriptions
Building Machine Learning Solutions with TensorFlow 2.0 Google released TensorFlow 2.0 in October 2019, which uses the dynamic graph and is more Python-friendly. There are several changes to ensure the 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 Expand 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 create powerful forecasts and predictions.
What you will learn
- design and implementation of machine learning solutions with TensorFlow 2.0
- Design optimal data pipelines
- Apply Tensorflow to more advanced problem areas such as image recognition, language modeling and predictive analysis
Specifying the development of machine learning solutions with TensorFlow 2.0
- Publisher : Plural view
- Teacher: Janani Ravi
- Language: English
- Level: All levels
- Number of courses: 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
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Subtitles: English
Quality: 720p
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File size
1.71GB