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Transfer Learning with TensorFlow 2 0

Course Reviews

Track :

Programming

Lessons no : 4

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What will you learn in this course?
  • Apply transfer learning techniques using TensorFlow 2.0 for image and text classification tasks
  • Implement pre-trained models in TensorFlow 2.0 to accelerate machine learning projects and improve accuracy
  • Fine-tune and adapt transfer learning models to specific datasets for enhanced performance and generalization
  • Evaluate transfer learning models in TensorFlow 2.0 to optimize machine learning workflows and achieve practical results

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Lessons | 4


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4
2 Reviews
Siddhant Dharam 

-
2025-11-17

Anush Vinod Mahajan 

Good
2025-11-10

Atharva Pangare 

Good
2025-11-10

Diyanshu Meshram 

Good
2025-11-07

Shruti Sasane 

Very nice
2025-11-06

Pratik sunil Tirpude 

Very nice
2025-11-04

Akash.c 

Good
2023-12-18

arman parnak 

Thank you for this course
2023-07-27

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Transfer learning (TL) is a research problem in machine learning (ML) that focuses on storing knowledge gained while solving one problem and applying it to a different but related problem. For example, knowledge gained while learning to recognize cars could apply when trying to recognize trucks .