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Results tagged with deep-learning
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user 24122
For questions related to deep learning, which refers to a subset of machine learning methods based on artificial neural networks (ANNs) with multiple hidden layers. The adjective deep thus refers to the number of layers of the ANNs. The expression deep learning was apparently introduced (although not in the context of machine learning or ANNs) in 1986 by Rina Dechter in the paper "Learning while searching in constraint-satisfaction-problems".
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What are the various methods for speeding up neural network for inference?
These are some ways to speed up inference:
Reduction of float precision: This is done post-training. According to work in this segment, a very little accuracy is sacrificed for a huge benefit in mem …
- 209
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Is it possible for a NN to reach the same results as CNNs?
NNs won't be able to reach the performance of CNNs, in general.
By a Neural Network, I am assuming you're pointing to 'vanilla' vector based neural networks.
Let's take the MNIST dataset, it perfor …
- 209
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Does changing the order of the convolution layers in a CNN have any impact?
Conventionally, CNN layers downsample over and over, which enables them to capture details at different levels of abstractions. Usually, it is observed that the initial layers do nothing more than det …
- 209