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Pre-Trained Models

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May 1, 2024 Updated June 22, 2025 20 minute read
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Navigating the World of Pre-Trained Models

Path to Pre-Trained Models

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We've curated eight courses to help you on your path to Pre-Trained Models. Use these to develop your skills, build background knowledge, and put what you learn to practice.
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Reading list

We've selected four books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Pre-Trained Models.
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Hands-On Transfer Learning with Python
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Provides a comprehensive guide to transfer learning, covering the fundamentals, techniques, and applications. It is particularly relevant for practitioners who want to leverage pre-trained models to improve the performance of their own models.
Hands-On Transfer Learning with Python: Implement...
Kindle Edition
$$
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Deep Learning
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Provides a comprehensive overview of deep learning, including a chapter on transfer learning. It foundational resource for practitioners who want to understand the fundamentals of deep learning and how to apply transfer learning techniques.
Deep Learning
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Deep Learning
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Advanced Deep Learning with Keras
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Covers advanced deep learning techniques, including a section on transfer learning. It is suitable for practitioners who have a good understanding of the basics of deep learning and want to explore more advanced topics.
Advanced Deep Learning with Keras
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Advanced Deep Learning with Keras
Kindle Edition
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Grokking Deep Learning
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Provides a high-level overview of machine learning, including a chapter on transfer learning. It good starting point for practitioners who want to get a broad understanding of machine learning and its applications.
Grokking Deep Learning
Kindle Edition
$$
Related topics
Artificial Intelligence
Natural Language Processing
Machine Learning
TensorFlow
Deep Learning
Keras
Computer Vision
Data Science
Image Processing
Neural Networks
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