Visualizaciones interactivas para el curso de Deep Learning (Universidad de Chile)

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for isipiran from gravatar.com isipiran

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: Ivan Sipiran
  • Tags deep-learning , education , visualization , colab , perceptron
  • Requires: Python >=3.9
Classifiers
Report project as malware

Project description

dlviz

Visualizaciones interactivas para el curso de Deep Learning (DCC, U. de Chile).

Instalación

pip install dlviz

Uso

from dlviz import perceptron_interactivo, mlp_xor_interactivo

perceptron_interactivo()   # perceptrón simple
mlp_xor_interactivo()      # MLP resolviendo XOR

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for isipiran from gravatar.com isipiran

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: Ivan Sipiran
  • Tags deep-learning , education , visualization , colab , perceptron
  • Requires: Python >=3.9
Classifiers

Release history Release notifications | RSS feed

0.2.0

This version

0.1.5

0.1.1

0.1.0

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dlviz-0.1.5.tar.gz (25.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

dlviz-0.1.5-py3-none-any.whl (34.1 kB view details)

Uploaded Python 3

File details

Details for the file dlviz-0.1.5.tar.gz.

File metadata

  • Download URL: dlviz-0.1.5.tar.gz
  • Upload date:
  • Size: 25.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.12

File hashes

Hashes for dlviz-0.1.5.tar.gz
Algorithm Hash digest
SHA256 b1dffe7a5a6ce38c70399aca9996207fafc95b747b80d9dd34a1e997c01a592b
MD5 1ab58d4181d39791ce6fc2d23765e137
BLAKE2b-256 7e31957aae961ad33be455391ea6957a701d577b1541f57ae5c4edbabc782a8a

See more details on using hashes here.

File details

Details for the file dlviz-0.1.5-py3-none-any.whl.

File metadata

  • Download URL: dlviz-0.1.5-py3-none-any.whl
  • Upload date:
  • Size: 34.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.12

File hashes

Hashes for dlviz-0.1.5-py3-none-any.whl
Algorithm Hash digest
SHA256 65901743aa9d6e9f0cde0fdac27bea694f3009cecaa918866ceb81d60b8667cd
MD5 dca6b797359ba96ff6bc813da3822bf5
BLAKE2b-256 c7d38aed87dd5e8dec70af516d14aeccf76d9777b97e606e5d18226a21eee204

See more details on using hashes here.

Supported by

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