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Results tagged with deep-learning
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user 33237
a new area of Machine Learning research concerned with the technologies used for learning hierarchical representations of data, mainly done with deep neural networks (i.e. networks with two or more hidden layers), but also with some sort of Probabilistic Graphical Models.
1
vote
Connection between the first pooling layer and the second convolutional layer
The first dimension is the batch size. From the tutorial you're linking to:
We store the training feature data (the raw pixel values for 55,000 images of hand-drawn digits)
So it looks like your …
- 131
2
votes
Deep learning - aesthetics data modelling
Your question is not properly framed. Deep learning optimizes a function that maps input variables to output variables. Your input variables are the pictures (specifically, the combination of RGB pixe …
- 131