What are the main criticism and limitations of deep learning?
What are the fundamental limitations of deep learning?
Is the current hype about Deep Learning justified? Does deep learning as a field overly analogize to the human brain? Are artificial neural networks the only way to establish deep learning? Is the current hype on Deep Learning justified? How can deep learning be used with video data? How is deep learning successful in artificial neural networks? What are the open research areas in Deep Learning? Kevin Murphy: How can a student do research in Deep learning without large computational resources? What does the future of deep learning look like? Is Unsupervised pre-training and Greedy layer-wise pre-training methods considered obsolete for modern Deep Learning? How can I use Deep Learning in selecting features, and not training/predicting the data? What is the minimum hardware requirement for trying out deep learning? In deep Q learning, how we update the weight in neural network? Why are GPUs well-suited to deep learning? Pedro Domingos: What are the open research areas in reinforcement and deep learning? Why are deep neural networks hard to train? 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? Is there a limit to one's learning capacity? Can Dropout be used to avoid overfitting a deep learning model with very small training data? What applications of machine learning are underexplored? What is the bug in my deep learning NN code? Which deep learning architectures are best suited for multi-dimensional regression problems? What are some of deep learning models that can learn to differentiate between reliable and noisy training data? Why are deep neural networks so bad with sparse data? What are some math-heavy deep learning tutorials? What are some good idea (time period 1 month) for deep learning purposes only in C/C++ and data structure? What is deep? What are the best books about deep learning? What are some positive uses for the Dark/ Deep Web? What is unique about Tensorflow from the other existing Deep Learning Libraries?