In my experiences in Deep Learning in python with Keras , when you create our models for looking the Architecture with the output of each function using for extracting the feature , we use this command "model.summary()", it is very good.

For documentation can you finding here:

https://keras.io/api/models/

I hope that be Claire.

MATPLOTLIB

MATLAB IS THE BEST FOR COMPUTIG AS WELL AS PLOTTING: https://au.mathworks.com/help/deeplearning/ref/plot.html

Tensorflow, Keras, MxNet, PyTorch

Examining Tensorflow Graph : Please refer following link https://www.tensorflow.org/guide/graph_viz

ASCII visualizations using keras : Please refer following link https://github.com/stared/keras-sequential-ascii

The keras.utils.vis_utils module provides utility functions to plot a Keras model (using graphviz). Please refer following link https://keras.io/visualization/

This is a website ( http://alexlenail.me/NN-SVG/index.html) where one can design their own feed-forward neural architectures either in LeNet Style/AlexNet style or Densely connected NN.

If you have a new paradigm for your architectures(complicated architecture) design go through online for the manual building of diagrams

Some of the free websites: https://app.diagrams.net/ (or) https://www.lucidchart.com/.

Address your own flexibility and design your architectures.

Matplotlib and Seaborn are excellent for charting and graphic representations. There are a variety of tools that allow various forms of charts with the library "Seaborn". See link for further details

http://seaborn.pydata.org/tutorial/relational.html

matplotlib of course

There are a number of options depending upon the platform you're comfortable in.

1. If you're plotting a graph or network diagram using inherent Python code, you can use Matplotlib and Plotly extension. You can also use Plotly online graph maker.

2. If you want a plug and play faculty, you can use AlexNet style SVG files for neural network models.

3. If you want a flowchart style top to bottom diagram, you can use Netron or Tensorboard. However, they provide little to none customization options.

4. Also, you can use Simulink for generating similar types of diagram.

5. Last but not the least, there are websites like draw.io and softwares like Edraw max or Inkscape or Giphy to draw such such diagrams.

Hope this will help.

The picture you shared as a ref. is a drawing. You can draw them on draw.io.

Above mentioned are libraries to plot on data. To draw figures and models after drawi.io you may like to use gimp or adobe or biorender. Ibrahim mohamed Gad

you can use matplotlib, graphviz, tikz or networkx within python. If you want to draw manually you can use microsoft powerpoint, inkscape or any online tools like draw.io or plotly.

Data Visualization using Python for Machine Learning and Data science

https://towardsdatascience.com/data-visualization-for-machine-learning-and-data-science-a45178970be7

https://www.analyticsvidhya.com/blog/2020/03/6-data-visualization-python-libraries/

1. You can use Inkscape.

2. You can also try(latex figures): https://github.com/PetarV-/TikZ

If you just want to visualize the model itself, you can go with Netron https://github.com/lutzroeder/netron

I would use Seaborn and Matplotlib.

I use Netron by Lutz Roeder you can find the tool in this link https://github.com/lutzroeder/netron

also, you can use Keras to plot your mode

from keras.utils.vis_utils import plot_model

plot_model(your model, to_file='path you want to save the result', show_shapes=True, show_layer_names=True)

Maybe it's not what you are looking for, but H2O Driverless AI has a lot of rich and automated tools that you can apply to your dataset.

Hi, if you're talking about particular software then Weka & Orange Data mining softwares will do wonder. All the best.

Keras is a smart tool. You may try it.

Matplotlib is also a smart tool.

You can use nnplot.xlsm, is a sheet of excel that allows you to draw a neural network with the advantages of office.

If you want to visualize the model then Matlab has good tools for that.

Hey Ibrahim mohamed Gad ,

Here is a list of some useful Github repositories containing some open source tools to make deep learning architectures.

https://github.com/ashishpatel26/Tools-to-Design-or-Visualize-Architecture-of-Neural-Network

Also I would recommend using this particular repository as it is written in Latex and can be directly added and modified in a research paper

https://github.com/HarisIqbal88/PlotNeuralNet

Best Regards

The difficulty in the visualization of deep neural networks is that they contain a lot of information. However, you may not need all this information to show your model. Therefore, I recommend the plot_model function from keras.utils.vis_utils to get an overview of your model and than choose depending on what you want to tell your readers to visualize it by hand in Inkscape, Illsutrator etc.

"Netron"

I'm not sure is it suits your needs, but I use it and like it.

https://github.com/lutzroeder/netron

use (google colab) and import (matplotlib.pyplot) you can see an example of visualization by means of matplotlib at URL below:

(https://github.com/arsalanyaghoobi/Text-Generation-and-Prediction-RNN-CNN-)

You can use NNSVG

Try this: https://github.com/HarisIqbal88/PlotNeuralNet

MATLAB is the best for any scientific computing plotting: https://au.mathworks.com/help/deeplearning/ref/plot.html

https://au.mathworks.com/help/deeplearning/referencelist.html?type=function&category=deep-learning-tuning-and-visualization&s_tid=CRUX_gn_function_deep-learning-tuning-and-visualization

hi,

at following link you can find nice web tool for drawing deep learning models:

http://alexlenail.me/NN-SVG/index.html

You can try these tools:

https://github.com/ashishpatel26/Tools-to-Design-or-Visualize-Architecture-of-Neural-Network

In my experiences in Deep Learning in python with Keras , when you create our models for looking the Architecture with the output of each function using for extracting the feature , we use this command "model.summary()", it is very good.

For documentation can you finding here:

https://keras.io/api/models/

I hope that be Claire.

Tools for drawing deep learning architecture models

https://github.com/ashishpatel26/Tools-to-Design-or-Visualize-Architecture-of-Neural-Network

MATLAB Deep learning Tool box is the best one I think

I havent tried MATLAB for it. . but so far Matplotlib does the work pretty good.

you can use Tikz library in Latex.

MATLAB might be a better choice but it isn't an open source. Besides this, a lot of alternatives exists. Of those, I would recommend python with the Keras library ( keras.utils.vis_utils or keras-sequential-ASCII).