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Okay,
So I have been thinking of a different way to implement a content addressable network for some time now, I have written a [post](https://systemshift.github.io/FAN.html) to explain the details…
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> copyright by deep learning.ai, coursera Deep Learning
## Binary Classification
Neural network 프로그래밍의 기초를 살펴볼 것이다.
It turns out that when you implement a neural network there are some techn…
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1. https://www.teachoo.com/4163/768/Example-21---A-man-is-known-to-speak-truth-3-out-of-4-times/category/Examples/
2. https://www.analyticsvidhya.com/blog/2021/04/top-30-mcqs-to-ace-your-data-science…
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```python
X = torch.FloatTensor([[0, 0], [0, 1], [1, 0], [1, 1]]).to(device)
Y = torch.FloatTensor([[0], [1], [1], [0]]).to(device)
# nn layers
linear1 = torch.nn.Linear(2, 2, bias=True)
linear2 …
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Hello All,
In Yolov3 paper, it is clearly stated that the loss function is the same as the previous versions of YOLO, with an exception of the last component which uses cross entropy.
I have gon…
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How can I train the DCGAN on a custom image samples?
As all the blogs, videos and github repo I've come across have been trained on either mnist or cifar datasets.
Thanks in advance :D
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Post your questions here about: “[Training and Taming Deep Networks](https://docs.google.com/document/d/1gne-oWcJs1p5sEjUumapq6HKeaOet3EHxJ-Ij0LuTro/edit?usp=sharing)” & “[The Expanding Universe of De…
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We don't want to settle on a certain kind of evolutionary algorithm without knowing what modifications are allowable given that we are working with a convex network.
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**Electricity Consumption**
https://nbviewer.jupyter.org/github/cs109-energy/cs109-energy.github.io/blob/master/iPython/Exploratory%20Analysis.ipynb
https://machinelearningmastery.com/how-to-load-an…
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# Description
The goal of this project is to expand our current understanding of the different **practical aspects** of recently proposed QML algorithms (i.e [[1]](https://arxiv.org/abs/1907.02085), …
ElePT updated
2 years ago