Skip to main content

Analyse the tuning functions of neurons in artificial neural networks

Project description

Neural Network Tuning Analysis Toolkit

Analyse neural networks for feature tuning.

Documentation

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


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-1.0.2.tar.gz (41.5 kB view details)

Uploaded Source

Built Distribution

nn_tuning_prednet-1.0.2-py3-none-any.whl (53.6 kB view details)

Uploaded Python 3

File details

Details for the file nn_tuning-prednet-1.0.2.tar.gz.

File metadata

  • Download URL: nn_tuning-prednet-1.0.2.tar.gz
  • Upload date:
  • Size: 41.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.6

File hashes

Hashes for nn_tuning-prednet-1.0.2.tar.gz
Algorithm Hash digest
SHA256 7359d8d07bca20cef305d30fd22f3e7ce2cd661f9457d159840542ed75e223ad
MD5 9afe4433a9331e7575b721efb62a62d5
BLAKE2b-256 4811c94ce0963088d46d0864490f6d5074d995e16181ab184075da77dfbbb211

See more details on using hashes here.

File details

Details for the file nn_tuning_prednet-1.0.2-py3-none-any.whl.

File metadata

  • Download URL: nn_tuning_prednet-1.0.2-py3-none-any.whl
  • Upload date:
  • Size: 53.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.6

File hashes

Hashes for nn_tuning_prednet-1.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 3cb575806464860f8f0ab229d72d29d6e046c58ba33cc4244dfdb7eebb311237
MD5 8548b9f0a9aff3df269a281a2f63782d
BLAKE2b-256 81c31fdf66d82dbc81d854a185ee71a7fbd4a4f7f150d0ff2c11a2fa21f3e2d6

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page