Analyse the tuning functions of neurons in artificial neural networks
Project description
Neural Network Tuning Analysis Toolkit
Analyse neural networks for feature tuning.
Installation
$ pip install nn_analysis
Depending on your use you might need to install several other packages.
The AlexNet network requires you to install PyTorch and PyTorch vision using:
$ pip install torch torchvision
PredNet requires a more specific configuration. For PredNet you need to be using python version 3.6 and TensorFlow version < 2.
Features
- Fitting tuning functions to recorded activations of a neural network,
- Automatic storage of large tables on disk in understandable folder structures,
- Easily extendable to other neural networks and stimuli.
The above features are explained in more detail in nn_analyis' documentation.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
nn_tuning-prednet-1.0.1.tar.gz
(41.6 kB
view hashes)
Built Distribution
Close
Hashes for nn_tuning_prednet-1.0.1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | c65b118053caf4cbd1e55e3ac94dd7c2da2cf97208a9e34f56367f133b11b572 |
|
MD5 | 447f2291427f5812264a1c64df20cdbd |
|
BLAKE2b-256 | d31828a170f40523dcdaf79bd0ea0123491bdf70328a110296744bec6fe61277 |