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Results tagged with machine-learning
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user 3617
Machine learning algorithms build a model of the training data. The term "machine learning" is vaguely defined; it includes what is also called statistical learning, reinforcement learning, unsupervised learning, etc. ALWAYS ADD A MORE SPECIFIC TAG.
4
votes
cross channel parametric pooling layer in the architecture of Network in Network
You have circled the parametric pooling layer. Those layers are not fully connected. In that case, the number of model parameters would be very high.
An output of a convolutional layer is an $X \time …
- 530
4
votes
Accepted
How is PCA used for 3D face reconstruction from 2D image?
3DMM modelling pipeline is quite complex. Here is a quick summary of how it works.
First, you have to train the model on a set of 3D scans of faces. They are the registered 3D point clouds, i.e. all …
- 530
3
votes
Accepted
Training a Tic Tac Toe brain - am I on the right track?
The main flaw in this method is the following one. You want to predict a move that leads to winning, but instead the model you use tries to guess one certain move from the database that may lead to wi …
- 530
1
vote
Accepted
a simplified version of fully convolutional network
Yes, it does make sense. But in order to “mix” the features from distant parts of an image and account for context, the network should be either very deep (like ResNet), or have wide convolution kerne …
- 530