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Machine learning
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
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maor121
commented
Nov 26, 2019
Small thing, but costed me several hours to find :)
In the documentation example of Siamese mnist .
We see a code for contrastive loss, based on a paper. But the labels in this function are reversed from
the paper. Meaning in the paper Y=0 if X1,X2 are from same domain, Y=1 other
scikit-learn: machine learning in Python
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Dec 2, 2019 - Python
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
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Dec 2, 2019 - Jupyter Notebook
suo
commented
Nov 26, 2019
Repro:
@torch.jit.script
class Timebase:
def __init__(
self,
numerator, # type: int
denominator, # type: int
):
# type: (...) -> None
self.numerator = numerator # type: int
self.denominator = denominator # type: int
Produces the error:
RuntimeError: Return type line '# type: (...) -> ...' not found on multiline
wincentbalin
commented
Jul 16, 2018
Short description
I am trying to train Tesseract on Akkadian language. The language-specific.sh script was modified accordingly. When converting the training text to TIFF images, the text2image program crashes.
Environment
- Tesseract Version: 3.04.01
- Commit Number: the standard package in Ubuntu, package version 3.04.01-4, commit unknown
- Platform: Linux ubuntu
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Bitmap & tilemap generation from a single example with the help of ideas from quantum mechanics.
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Dec 2, 2019 - C#
In tensorflow website, it describes tf.losses.cosine_simialrity as follows:
Note that it is a negative quantity between -1 and 0, where 0 indicates orthogonality and values closer to -1 indicate greater similarity.
In fact, the quantity is from 1. to -1., it just takes a negative from normal cosine_similarity.
The page is at
https://tensorflow.google.cn/api_docs/python/tf/keras/losses/cosine_