artificial-intelligence

Hi, I see that is_last_batch trainer property isn't documented in https://pytorch-lightning.readthedocs.io/en/stable/common/trainer.html#properties.

I was lucky to find it here.

I feel it would be helpful to have all properties listed there.

Thanks.

cc @Borda @rohitgr7 @akihironitta

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! 👻
Welcome to the Ciphey repo(s)!
This issue requires you to add a decoder.

This wiki section walks you through EVERYTHING you need to know, and we've added some more links at the bottom of this issue to detail more about the decoder.
https://github.com/Ciphey/Ciphey/wiki#adding-your-own-crackers--decoders

https://www.dcode.fr/t9-cipher
https://en.wikipe

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
✔ Reply you by texting
❗ Amazon Polly text-to-speech
❗ Google Cloud text-to-speech
❗ Watson text-to-speech
❗ Offline text-to-speech
❗ Google Cloud speech-to-text
❗ Watson spee

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

Is there an existing integration?

• I have searched the existing integrations.

Use Case

This will allow to host the software on a serverless and stateless service. This will facilitate scaling because no critical data will be on the disk of the system running the application.

Motivation

Allow users to save resources and money.

Implementation

No response

Anything e

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