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Can I read Production-Ready Applied Deep Learning : Learn How to Construct and Deploy Complex Models in PyTorch and TensorFlow Deep Learning Frameworks on EtoBox?
Production-Ready Applied Deep Learning : Learn How to Construct and Deploy Complex Models in PyTorch and TensorFlow Deep Learning Frameworks by Tomasz Palczewski; Jaejun (Brandon) Lee; Lenin Mookiah is a nonfiction available to read on EtoBox.
What is Production-Ready Applied Deep Learning : Learn How to Construct and Deploy Complex Models in PyTorch and TensorFlow Deep Learning Frameworks about?
Leverage top XAI frameworks to explain your machine learning models with ease and discover best practices and guidelines to build scalable explainable ML systems Key Features Explore various explainability methods for designing robust and scalable explainable ML systems Use XAI frameworks such as LIME and SHAP to make ML models explainable to solve practical problems Design user-centric explainable ML systems using guidelines provided for industrial applications Book Description Explainable AI (XAI) is an emerging field that brings artificial intelligence (AI) closer to non-technical end users. XAI makes machine learning (ML) models transparent and trustworthy along with promoting AI adoption for industrial and research use cases. Applied Machine Learning Explainability Techniques comes with a unique blend of industrial and academic research perspectives to help you acquire practical XAI skills. You'll begin by gaining a conceptual understanding of XAI and why it's so important in AI. Next, you'll get the practical experience needed to utilize XAI in AI/ML problem-solving processes using state-of-the-art methods and frameworks. Finally, you'll get the essential guidelines needed to
Who reads Production-Ready Applied Deep Learning : Learn How to Construct and Deploy Complex Models in PyTorch and TensorFlow Deep Learning Frameworks?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Tomasz Palczewski; Jaejun (Brandon) Lee; Lenin Mookiah
- Publisher
- Packt Publishing, Limited
- Published
- 2022
- Language
- EN
- ISBN
- 9781800208100
- Category
- nonfiction
- Subjects
- Engineering, Science, Computer Science
Other editions & translations
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