Is the current hype about Deep Learning justified?
Is the current hype on Deep Learning justified?
Is deep learning too deep to understand? What are the main criticism and limitations of deep learning? What is deep learning? What does the future of deep learning look like? What are the fundamental limitations of deep learning? How is deep learning successful in artificial neural networks? Does deep learning as a field overly analogize to the human brain? What is the future of deep learning? Kevin Murphy: What do you think of Deep Reinforcement Learning? Are artificial neural networks the only way to establish deep learning? What are your thoughts on AI and the recent deep learning trend? What do you think about the links between statistical physics and deep learning? What are the limitations and challenges of deep learning models? What is deep learning? How is related to AI and machine learning? What is the difference between deep learning and usual machine learning? How do I compare between Machine Learning and Deep Learning? Is cross-validation heavily used in Deep Learning or is it too expensive to be used? Why are GPUs well-suited to deep learning? What is the difference between machine learning and deep learning? Is Unsupervised pre-training and Greedy layer-wise pre-training methods considered obsolete for modern Deep Learning? Why is the Lin and Tegmark paper "Why does deep and cheap learning work so well?" important? How can deep learning be used with video data? What's the difference between deep learning and machine learning? What are some of deep learning models that can learn to differentiate between reliable and noisy training data? What is the difference between Machine Learning and Deep Learning? Which is better? Did deep learning revolutionize clustering as it did for supervised learning? What should be my approach to learn Deep learning? For what use cases do you think deep learning and neural networks overkill and simpler models work better in practice? What are the hot topics of Deep Learning in 2016? In deep Q learning, how we update the weight in neural network? Why are unsupervised methods or reconstruction methods such as autoencoders, better than supervised methods such as logistic regression for pre-training (greedy) deep learning layers?