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Google Cloud Machine Learning with TensorFlow

Track :

Programming

Lessons no : 6

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What will you learn in this course?
  • Master deploying and optimizing machine learning models on Google Cloud using TensorFlow and transfer learning techniques
  • Implement neural architecture search to enhance model accuracy and efficiency in real-world applications
  • Utilize Google Cloud tools for scalable data preprocessing, model training, and deployment in machine learning workflows
  • Apply transfer learning strategies to improve model performance with limited data in various industry scenarios
  • Leverage Google Research innovations to accelerate machine learning development and achieve faster prediction results
  • Evaluate model performance and fine-tune hyperparameters for optimal accuracy in cloud-based environments

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Lessons | 6


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1 Reviews

Akash Patel

Good
2025-10-27

Himesh Singh

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2025-10-04

Suryakanta Barik

Ok
2024-06-23

Vidyasagar Kushwaha

Good
2024-02-29

krishna mohan Shukla

good way to learn and understand the main concept in less time i love it...
2024-02-27

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It relies on Google's state-of-the-art transfer learning and neural architecture search technology; leveraging more than 10 years of proprietary Google Research technology to help your machine learning models achieve faster performance and more accurate predictions.