What are the limitations and challenges of deep learning models?
What are the fundamental limitations of deep learning?
What is deep learning? Is the current hype about Deep Learning justified? Are artificial neural networks the only way to establish deep learning? Is deep learning overhyped? Is the current hype on Deep Learning justified? What are the open research areas in Deep Learning? Kevin Murphy: How can a student do research in Deep learning without large computational resources? 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 difference between Machine Learning and Deep Learning? Which is better? 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? What is the simplest way to experiment with Deep Learning? How do I compare between Machine Learning and Deep Learning? 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? What do you think of the current hype on Deep Learning? What are the advantages and disadvantages of constructive learning? 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 do you think about the current hype on Deep Learning? 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?