artificial-intelligence

Proposed refactor

The current import time for the pytorch_lightning package on my machine is several seconds. There are some opportunities to improve this.

Motivation

High import times have an impact on the development and debugging speed.

Benchmark

I benchmarked the import time in two environments:

1. Fresh environment with pytorch lightning installed, no extras.

At this moment relu_layer op doesn't allow threshold configuration, and legacy RELU op allows that.
We should add configuration option to relu_layer.

Hey Hackers of this spoopy month! 👻
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https://github.com/Ciphey/Ciphey/wiki#adding-your-own-crackers--decoders

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Specs

• Leon version: latest
• OS (or browser) version: Fedora 30
• Node.js version: 10.16.3
• Complete "npm run check" output:

➡ Here is the diagnosis about your current setup
✔ Run
✔ Run modules
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Currently, when entering epic mode the README is frozen in the last level of the tower. When you're trying to fine-tune the score for a level other than the last one, it would be helpful if we had the README for that level available. The proposal is that when entering epic mode, the README is updated with all levels, one following the other.

Example:

# Starbolt - beginner

Discussed in mindsdb/mindsdb#2214

Some ideas for figures to add to the PPT

• Linear regression, single-layer neural network
• Multilayer Perceptron with hidden layer
• Backpropagation
• Batch Normalization and alternatives
• Computational Graphs
• Dropout
• CNN - padding, stride, pooling,...
• LeNet
• AlexNet
• VGG
• GoogleNet
• ResNet
• DenseNet
• Memory Net