Are Restricted Boltzmann machines more generalizable/adaptable than NNs?
Are restricted Boltzmann machines and deep belief networks more generalizable/adaptable than NNs?
Where are Bayesian regularized Neural Networks better over the usual NNs? How useful the pre-training of discriminatory network by genetic algorithm for generative adversarial network? How are artificial neural networks and Markov chains different? Have the most successful artificial intelligence mimicked biological intellectual structures, or new network methods not found in nature? Why are deeper neural networks better than wider networks? Are artificial neural networks the only way to establish deep learning? What is the bug in my deep learning NN code? Does it necessary to have very strong mathematics base to learn machine learning? What is a good explanation of the Maxwell-Boltzmann distribution? What are good books for recurrent artificial neural networks? Why are deep neural networks so bad with sparse data? Why are deep neural networks hard to train? Can matter travel through multiverses if the multiverse hypothesis is true? What are some potentially interesting ideas from Computational Neuroscience that maybe/should be applied in Deep Learning in the Future? Is Hebbian learning mechanism is essential to learn for better understanding artificial neural network? Is it okay to skip Hebbian mechanism? What are the pros and cons of using several deep neural networks at once? What are complex networks? Andrew Ng: Is it possible to make training Deep NN faster without using GPUs? Should economists learn machine learning? What should I be aware of when learning NN? How is deep learning successful in artificial neural networks? Is knowledge infinite? What is the best book for computer network algorithms? What are the best books about machine learning? Is an infinite chain of cause and effect impossible because a divergent infinite series cannot be completed in a finite time? How are neural networks different from 'supervised machine learning'? Where can machine learning not be applied? How do artificial neural networks work? How can I do research in machine learning and neuroscience? What can you do with machine learning?