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Transfer Learning Accelerating ML with Pre-Trained Models: Use pre-trained models to boost ML development efficiency

by Isandro Myles
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Current price ₹1,423.00
Original price ₹1,588.00
Original price ₹1,588.00
Original price ₹1,588.00
(-10%)
₹1,423.00
Current price ₹1,423.00

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Book cover type: Paperback
  • ISBN13: 9798264843853
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Publication Date:
  • Pages: 162
  • Original Price: GBP 12.55
  • Language: English
  • Edition: N/A
  • Item Weight: 227 grams
  • BISAC Subject(s): Artificial Intelligence / Expert Systems

Unlock the power of pre-trained models to accelerate machine learning development.

In Transfer Learning, you'll discover how to leverage pre-trained models to jumpstart your machine learning projects, saving time and resources while building highly accurate solutions. This hands-on guide shows you how to apply transfer learning to a variety of tasks, from image classification to natural language processing (NLP), and take advantage of existing models for faster development.

Inside, you'll learn how to:

  • Understand transfer learning: the key concepts behind using pre-trained models and how they can be applied to a wide range of machine learning problems.

  • Work with popular pre-trained models like VGG16, ResNet, Inception, and BERT for image and text tasks.

  • Apply fine-tuning techniques to adapt pre-trained models for your specific dataset, enhancing accuracy without the need to train from scratch.

  • Implement transfer learning in TensorFlow and Keras with easy-to-follow code examples and step-by-step guidance.

  • Use pre-trained models for image recognition, object detection, speech-to-text, text classification, and more.

  • Understand feature extraction and layer freezing to adjust pre-trained models for your custom applications.

  • Optimize model performance by experimenting with different architectures, hyperparameter tuning, and data augmentation.

  • Explore real-world use cases: apply transfer learning to problems like medical image classification, sentiment analysis, and fraud detection.

  • Leverage cloud-based transfer learning using services like Google AI, AWS SageMaker, and Azure ML for scalable solutions.

  • Deploy pre-trained models into production with tools like TensorFlow Lite and ONNX for edge inference and mobile applications.

Packed with practical examples, case studies, and real-world projects, this book helps you accelerate your machine learning development with the power of transfer learning.

Who This Book Is For
  • Machine learning engineers and data scientists looking to save time and improve model accuracy with pre-trained models

  • Developers eager to learn how to implement transfer learning for their machine learning applications

  • Students and researchers interested in deep learning and transfer learning techniques

  • AI enthusiasts looking for a hands-on guide to leveraging transfer learning for real-world problems

  • Product teams looking to integrate transfer learning into their AI-powered products

Accelerate your ML projects and build smarter models faster with transfer learning.

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