Become Deep Learning professional by learning from Deep Learning professional
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
1. The content (80% hands on and 20% theory) will prepare you to work independently on Deep Learning projects
2. Foundation of Deep Learning TensorFlow 2.x
3. Use TensorFlow 2.x for Regression (2 models)
4. Use TensorFlow 2.x for Classifications (2 models)
5. Use Convolutional Neural Net (CNN) for Image Classifications (5 models)
This comprehensive Deep Learning by TensorFlow 2.0 Basic to Advance with Python 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 Deep Learning by TensorFlow 2.0 Basic to Advance with Python course:
This course is perfect for:
Everything you need to know about this online course, from duration to certification
Course Instructor
Shiv Onkar Deepak Kumar
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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