How can you combine explainable AI with deep learning?
Deep learning is a powerful technique for creating artificial intelligence (AI) systems that can learn from complex and high-dimensional data. However, deep learning models are often seen as black boxes that are hard to understand and trust. Explainable AI (XAI) is a field that aims to make AI more transparent and interpretable by providing human-friendly explanations of how and why AI models make decisions. In this article, you will learn how you can combine XAI with deep learning to create more reliable and accountable AI systems.
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Dr. Priyanka Singh Ph.D.AI Author ?? Transforming Generative AI ?? Responsible AI - EM @ Universal AI ?? Championing AI Ethics & Governance ??…
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Viswanatha Allugunti, PhDLinkedin Top Voice, Digital Innovation Thought Leader - AI | ML | UX | IEEE Brand Ambassador | Forbes Technology…
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Anand AjmeraDeveloping AI solutions for businesses | 23+ AI projects taken from idea to implementation for 7 industries | Founder &…