How to start deep learning with tensorflow 2 - machine learning in the cloud with google colab
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
Getting familiar with tensorflow 2.0
Learn model structures (sequential and functional api) implemented via keras
Create your own model class in tensorflow 2.0 with OOP
Learn object orientated programming in tensorflow 2.0
Create an image classification model including preprocessing steps with google colab in the cloud
This comprehensive Introduction to tensorflow 2 curriculum is designed to take you from foundational concepts to advanced implementation. Each module builds upon the previous, ensuring a structured learning path that maximizes knowledge retention and practical application.
Understand what you need to succeed in this course and determine if it's the right fit for your learning goals
What you need before starting this Introduction to tensorflow 2 course:
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Everything you need to know about this online course, from duration to certification
Course Instructor
Dan We
Expert instructor with industry experience
Course Language
English
All materials in English
This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.
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