Skip to main content

A Library for visualizing Neural Networks.

Project description

Neural Plot

PyPI version Python version Open In Colab

Neural Plot is a python library for visualizing Neural Networks. It helps to plot Keras/Tensorflow model with matplotlib backend.

Installation

Run the following to install:

pip install neuralplot

Example

# Importing Libraries
from neuralplot import ModelPlot
import tensorflow as tf
import numpy as np
# Uncomment while using Colab.
# %matplotlib inline 

# Uncomment while using jupyter notebook. This feature is not working in colab.
%matplotlib notebook 
#Creating Model
X_input = tf.keras.layers.Input(shape=(32,32,3))
X = tf.keras.layers.Conv2D(4, 3, activation='relu')(X_input)
X = tf.keras.layers.MaxPool2D(2,2)(X)
X = tf.keras.layers.Conv2D(16, 3, activation='relu')(X)
X = tf.keras.layers.MaxPool2D(2,2)(X)
X = tf.keras.layers.Conv2D(8, 3, activation='relu')(X)
X = tf.keras.layers.MaxPool2D(2,2)(X)
X = tf.keras.layers.Flatten()(X)
X = tf.keras.layers.Dense(10, activation='relu')(X)
X = tf.keras.layers.Dense(2, activation='softmax')(X)

model = tf.keras.models.Model(inputs=X_input, outputs=X)
modelplot = ModelPlot(model=model, grid=True, connection=True, linewidth=0.1)
modelplot.show()

.. image:: https://github.com/Rajsoni03/Neural-Plot/blob/master/Screenshot/Image-011.png

modelplot = ModelPlot(model=model, grid=False, connection=True, linewidth=0.1)
modelplot.show()

.. image:: https://github.com/Rajsoni03/Neural-Plot/blob/master/Screenshot/Image-010.png

License

MIT

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

neuralplot-0.0.4.tar.gz (3.8 kB view details)

Uploaded Source

Built Distribution

neuralplot-0.0.4-py3-none-any.whl (4.6 kB view details)

Uploaded Python 3

File details

Details for the file neuralplot-0.0.4.tar.gz.

File metadata

  • Download URL: neuralplot-0.0.4.tar.gz
  • Upload date:
  • Size: 3.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.50.0 CPython/3.8.2

File hashes

Hashes for neuralplot-0.0.4.tar.gz
Algorithm Hash digest
SHA256 26e0cf0d07a7b6970ced6d5eaad2198944e0be4632a9845abca31d0cd397871c
MD5 06048fbfbcefc9b6496e891e0c986ed4
BLAKE2b-256 4743d12023d807135642f7aebed3ca3693cdd5de427af5c80d15be8cc9252f79

See more details on using hashes here.

File details

Details for the file neuralplot-0.0.4-py3-none-any.whl.

File metadata

  • Download URL: neuralplot-0.0.4-py3-none-any.whl
  • Upload date:
  • Size: 4.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.50.0 CPython/3.8.2

File hashes

Hashes for neuralplot-0.0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 e3ae98ef21f29551f1f860a15805e59ff21213919bce84c66f7456d59d215b9c
MD5 ab7aba4c3f295d0bf10dc9645fe1958a
BLAKE2b-256 866cd4160140e2a4daa31349c03700ba15854515f2ea2642ae1695e0c7ae3dfd

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