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This is really a nit-picky detail, but there's no shebang ("#!/usr/bin/env python3") at the beginning of the ode_demo.py. Also, for some reason the graphics are not generating. I removed the savefig a…
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To evaluate the behavior of the two agent types—**IndividualAgent** (competitive, individualistic behavior) and **SystemAgent** (collaborative, cooperative behavior)—design a series of experiments tha…
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**Is your feature request related to a problem? Please describe.**
Currently, the Neural Networks folder lacks a comprehensive example of image classification using Convolutional Neural Networks (CNN…
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- [ ] AI types
- [ ] Heuristics
- [ ] Search algorithm
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I noticed your threshold version:
trelu(x, theta=1) = x > theta ? x : 0
and I certainly like the simplicity of it and ReLU.
I'm sure you're open to new functions (I could provide a PRs), but …
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Hello!
Thank you for releasing this amazing codebase!
I wanted to try enforcing normal loss on an RGB-D dataset. To do this, I did the following:
1. I generated normals from the Omnidata model,…
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Thank you for your work and release the code generously.
In the google colab sample, the accuracy of the model was about 60%. I was thinking if we could continue to train the predicted model and ac…
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@cbattista, I ran the images data on a super simplified botzmann NN model (not a deep layer network) unsupervised. The acc is around 60%. I hence recreated the images from the output data.
Below is …
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1. How many nodes we need to create a neural network?
2. What kind of activation function we have to use?(e.g. sigmoid, tanh, ReLU)
3. What is the exact process of backpropagation?
4. What is regre…
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## Prelude / Prior Work
- https://github.com/kurtzace/complete-data-science-bootcamp-excercises
- [AI notes 2023](https://github.com/kurtzace/diary2023/issues/13)
- [Other data science steps taken …