[D] Propose a Math function for this scaling please

Published on :

I have the following Linear Scaling. Basically a range from 1 to 60m, with a 128 amount subdivision ​ https://preview.redd.it/vh1kpm3xccf41.png?width=1029&format=png&auto=webp&s=7f35493893cfbf4e58113131fd5856e9c37c76eb I need the objects that are closer towards towards my camera to have a higher "density", and as I move towards 60, have a lower density but still maintain the […]

How to Configure XGBoost for Imbalanced Classification

Published on :

The XGBoost algorithm is effective for a wide range of regression and classification predictive modeling problems. It is an efficient implementation of the stochastic gradient boosting algorithm and offers a range of hyperparameters that give fine-grained control over the model training procedure. Although the algorithm performs well in general, even […]

[P] Web-based Interactive Tool for Visualizing Adversarial Attacks on Imagenet SOTA models in Pytorch

Published on :

Hello! I've made an educational interactive flask app to generate Adversarial Examples using Some common Attack Strategies(more to be added). https://github.com/dsgiitr/adversarial_lab It is based on another Adversarial DNN Playground but that was implemented on MNIST handwriting Dataset only. FGSM on resnet You can upload Images and get Perturbed Image and […]

[discussion] AI most promising open source projects for 2020

Published on :

Want to be up to date with the latest open source projects in AI? I created the below map of the most promising AI open source projects for 2020 – https://www.footnote.ai/data-science/ai-most-promising-open-source-projects-in-2020/ Drop a comment or submit a pull-request, if you believe that a relevant project was left behind. https://preview.redd.it/i5bv2l3bs4e41.png?width=1500&format=png&auto=webp&s=fe428c37f955519a1bc62cdc48418e535b7d4962 […]

[R] IMAE for Noise-Robust Learning: Mean Absolute Error Does Not Treat Examples Equally and Gradient Magnitude's Variance Matters

Published on :

IMAE for Noise-Robust Learning: Mean Absolute Error Does Not Treat Examples Equally and Gradient Magnitude’s Variance Matters https://arxiv.org/pdf/1903.12141.pdf' https://github.com/XinshaoAmosWang/Improving-Mean-Absolute-Error-against-CCE ​ https://preview.redd.it/2uv27o63mdd41.png?width=1327&format=png&auto=webp&s=3f67b6608bbfebaac7caca88460a9492eaad8e3f ​ https://preview.redd.it/r7dee245mdd41.png?width=631&format=png&auto=webp&s=656beed805183783d65030f2d6d9e928c39d0055 submitted by /u/XinshaoWang [link] [comments] Source link

[R] New article on The Gradient by Gary Marcus!

Published on :

​ https://preview.redd.it/z742homk80d41.png?width=220&format=png&auto=webp&s=4250d6dd42c073093aa9ec9830bf76a2a78607ce GPT-2 can generate some impressive looking sentences, but u/garymarcus claims that "anything that looks like genuine understanding is just an illusion." Visit The Gradient for an article that will make you rethink your assumptions: https://thegradient.pub/gpt2-and-the-nature-of-intelligence/ submitted by /u/bradly-alicea [link] [comments] Source link