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Results tagged with deep-learning
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user 54612
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.
3
votes
1
answer
803
views
Weighted linear regression with a DNN (in Keras)
I have a fairly small dataset of 225 points. I have a target (labelled numeric), a feature (normalised numeric) and a quality index with set of normalised weights that describe the likelihood that the …
1
vote
1
answer
33
views
Optimizers, loss functions and weights: when do they matter?
I'm training an FCN in TF/Keras with sigmoid focal loss (from TF addons) and saving weights in checkpoints. I will need the inference to be done on another computer that, for the moment, does not hav …
0
votes
0
answers
29
views
Using images with 5 or more channel in a tf.data pipeline
I have a data generator used to train FCNs (eg Unets) that uses tf.data. The image parser followed by the creation of the tf.data dataset for the training images looks like:
def parse_image(img_ …