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Latest Workshop Code uploaded. Thanks for the lesson!
@shomikj
@gstenger98
@bhahn16
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1. Nodes cannot directly fit multiplication and division operations; nodes can only use addition and subtraction.
2. When using the model, it is not possible to restrict the activation functions used…
hzy24 updated
1 month ago
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Get the SVN and later the neural network to run on the ESP32 and test performance.
Requires developing a process to compress the results of machine learning and integrating it into the firmware.
Res…
xjjak updated
3 months ago
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### What would you like to share?
I want to try to improve the implementation `neural_network /simple_neural_network.py` because it's currently one of the slowest files by far during build tests and …
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The current implementation of the neural network's training and forward propagation methods is not functioning correctly. Specifically, the methods do not align with the principles of Kolmogorov–Arnol…
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## Blog: Techniques for training large neural networks
Link: https://openai.com/research/techniques-for-training-large-neural-networks
This blog explains the parallism technologies for training la…
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Hey DCP participants, good to see you here
This issue will helps readers in giving all the guidance that one needs to learn about Introduction to Artificial Neural Networks. Tutorial to Artificial …
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I have taken a closer look at your quantum neural network architecture, which is of great help to my research, do you have a paper on this architecture, I would like to see a specific paper.
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Possible candidates for this project are:
- Python
- [Pylearn2](https://github.com/lisa-lab/pylearn2)
- [nolearn/Lasagne](https://github.com/dnouri/nolearn)
- [Keras](https://github.com/fchollet…
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Nvidia has quite complete solution on [8 bit inference](http://on-demand.gputechconf.com/gtc/2017/presentation/s7310-8-bit-inference-with-tensorrt.pdf).
Nvidia's [two days demo](https://github.com/…