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Hi,
I am convinced that we should go to 2nd order methods, those which actively repel saddles like SFN, but it seems they are not used (?) nearly 5 years after the paper.
Do you maybe know what is t…
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First, thank you so much for creating this wonderful library!
I'm using pylogit for a multinomial logit model that currently, for test purposes, has just four parameters. I can successfully fit the…
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Check out some of ideas mentioned here to enhance the neural network:
@lightvector https://github.com/lightvector/GoNN
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Initial thoughts on the concepts without any further research to bac…
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By default, Sphinx builds are incremental: If you've recently done a clean build of the docs, and then you modified just one of the sources, the next time you build, Sphinx will only build the pages t…
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### learning rates:
https://towardsdatascience.com/estimating-optimal-learning-rate-for-a-deep-neural-network-ce32f2556ce0
https://miguel-data-sc.github.io/2017-11-05-first/
### pytorch:
https://t…
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image classification, covering several core deep learning concepts that are necessary to get good performance: what a learning rate is and how to choose a good one, how to vary your learning rate ove…
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Start of your fast.ai journey! In today’s lesson you’ll set up your deep learning server, and train your first image classification model (a convolutional neural network, or CNN), which will learn to …
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We start today's lesson learning how to build your own image classification model using your own data, including topics such as:
- Image collection
- Parallel downloading
- Creating a validation …
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Hello,
I was training NER model.
However I have ran into a memory error when training NER . I have used the default settings from train.py
![image](https://user-images.githubusercontent.co…
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We explain convolutional networks from several different angles: the theory, a video visualization, and an Excel demo. You’ll see how to use deep learning for structured/tabular data, such as time-ser…