A Library for visualizing Neural Networks.
Project description
Neural Plot
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()
modelplot = ModelPlot(model=model, grid=False, connection=True, linewidth=0.1)
modelplot.show()
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-0.0.7.tar.gz
(3.9 kB
view hashes)
Built Distribution
Close
Hashes for neuralplot-0.0.7-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2672bde223096c61ccef79b5f0e64f2b72ea18f3f71841c2cf307fd6c603f4c7 |
|
MD5 | 48cc5f4682a818649fc9a06190ef5f54 |
|
BLAKE2b-256 | 9eb248156505e583403cc7fec580a2fa3ec56396b7232c903b900251cee92046 |