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Review of developments in deep learning – analysis of strengths and weaknesses
• Cutting through the hype of Deep Learning – what is it really useful for?
• Challenges in using Deep Learning in automotive, safety critical applications
• Future pathways, required research and the role of Deep Learning in the mix of computer vision approaches
