dnn | Automatic differentiation deep neural network framework | Machine Learning library

by ruimashita Python Version: Current License: No License

X-Ray Key Features Code Snippets(3)Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | dnn Summary

dnn is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Neural Network applications. dnn has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Automatic differentiation deep neural network framework.

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Security

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Support

dnn has a low active ecosystem.

It has 5 star(s) with 2 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

dnn has no issues reported. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of dnn is current.

Quality

dnn has no bugs reported.

Security

dnn has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

dnn does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

dnn releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed dnn and discovered the below as its top functions. This is intended to give you an instant insight into dnn implemented functionality, and help decide if they suit your requirements.

Softmax model
Download and parse MNIST dataset
Update the optimizer
Load MNIST dataset
Backward computation
Convert an image to colormap
Convert col to image
Update the tensor
Traverse an operation
Compute the gradient of the gradients
Calculate the gradient of the computation
Broadcast gradients
Return True if inputs are broadcast
Train the MLP model
Generate an MLP
Load the Iris data
Compute the mean of an array
Calculate the gradients
Performs backward computation
Forward the input tensor
Gradually compute gradients
Forward forward function
Compute the gradients of the graph

Get all kandi verified functions for this library.

dnn Key Features

No Key Features are available at this moment for dnn.

dnn Examples and Code Snippets

Generate shared embedding columns .

python

Lines of Code : 181

License : Non-SPDX (Apache License 2.0)

Copy

def shared_embedding_columns(categorical_columns,
                             dimension,
                             combiner='mean',
                             initializer=None,
                             shared_embedding_collection_name=None,

Embed dense_embedding_columns .

python

Lines of Code : 172

License : Non-SPDX (Apache License 2.0)

Copy

def shared_embedding_columns_v2(categorical_columns,
                                dimension,
                                combiner='mean',
                                initializer=None,
                                shared_embedding_collec

Create a cross - section cross section .

python

Lines of Code : 125

License : Non-SPDX (Apache License 2.0)

Copy

def crossed_column(keys, hash_bucket_size, hash_key=None):
  """Returns a column for performing crosses of categorical features.

  Crossed features will be hashed according to `hash_bucket_size`. Conceptually,
  the transformation can be thought of

Community Discussions

Trending Discussions on dnn

text recognition and restructuring OCR opencv

Possible to select the DNN AI core for model evaluation on HoloLens 2?

Cuda out of memory issue with pytorch when training two networks jointly

Weights were not updated using Gradient Tape and apply_gradients()

How can I Run Object detection on GPU?

Docker: COPY failed: stat : file does not exist

icons missing for built in 2sxc actions

Is there a way to tell Razor (DNN's View Engine) to use a different Views Folder for a MVC Module?

How do I get DNN Search results to display links to articles with a 2sxc app?

Interpreting recurrent neural networks features (RNN/LSTM)

QUESTION

text recognition and restructuring OCR opencv

Asked 2021-Jun-08 at 12:14

Link to original image https://ibb.co/0VC6vkX

I am currently working with an OCR Project. I pre-processed the image, and then applied pre-trained EAST model for text detection.

...

ANSWER

Answered 2021-Jun-07 at 07:02

Here's a possible solution that you can try improving on by trying a few things:

by varying Gaussian parameters
by thresholding the blurred image to see if it improves the result

Code:

Source https://stackoverflow.com/questions/67763853

QUESTION

Possible to select the DNN AI core for model evaluation on HoloLens 2?

Asked 2021-Jun-07 at 17:27

Can anyone tell me if one can directly select the DNN AI core for neural network evaluation on HoloLens 2.

I have read about the HPU, which includes and DNN AI core in the GitHub repo here. But in the doc for the devices that can be used only CPU and GPU are listed.

...

ANSWER

Answered 2021-Jun-07 at 17:27

Currently Windows AI only supports inference on CPUs or GPUs.

Unfortunately there isn't a way to perform inference on the HoloLens2 HPU DNN AI Core at the moment.

Source https://stackoverflow.com/questions/66347068

QUESTION

Cuda out of memory issue with pytorch when training two networks jointly

Asked 2021-Jun-02 at 15:11

I try to train two DNN jointly, The model is trained and goes to the validation phase after every 5 epochs, the problem is after the 5 epochs it is okay and no problem with memory, but after 10 epochs the model complains about Cuda memory. Any help to solve the memory issue.

...

ANSWER

Answered 2021-Jun-02 at 15:11

Don't use retain_graph = True on the second backwards pass. This flag is making your code store the computation graphs for each batch, conceivably in perpetuity.

You should only use retain_graph for all but the last call to backward() that back-propagate through the same variables/parameters.

Source https://stackoverflow.com/questions/67800627

QUESTION

Weights were not updated using Gradient Tape and apply_gradients()

Asked 2021-Jun-02 at 11:05

I am building a DNN with a custom loss function and I am training this DNN using Gradient Tape in TensorFlow.kerasenter code here. The code runs without any errors, however, as far as I can check the weights of the DNN, the weights were not being updated at all. I followed exactly what recommends from the TensorFlow website and search for the answers but still don't understand what is the reason. Here is my code:

...

ANSWER

Answered 2021-Jun-02 at 11:05

The weight does change. You can check as follows; after building the model save your weights file (these are initial weight).

Source https://stackoverflow.com/questions/67803574

QUESTION

How can I Run Object detection on GPU?

Asked 2021-May-31 at 11:45

This program is detecting the things from web cam but it's slow so how can i make it fast for better FPS and how can i use GPU for the faster detection and with better performance. And i how can i make it perfect .In this Program i have used the Yolo configuration and weights with coco dataset .

...

ANSWER

Answered 2021-May-31 at 11:45

To use Gpu we have to compile opencv and this can be done as follows in blog : https://haroonshakeel.medium.com/build-opencv-4-4-0-with-cuda-gpu-support-on-windows-10-without-tears-aa85d470bcd0

and after doing it add the two lines that will that will detect the Gpu and program will run on GPU.

Source https://stackoverflow.com/questions/65757670

QUESTION

Docker: COPY failed: stat : file does not exist

Asked 2021-May-28 at 17:24

I am trying to copy a file into my docker container but the command fails. The file is in the same directory as the Dockerfile, so I don't understand the reason for the error.

I'd appreciate any help or advice. Thanks beforehand.

This is the code:

...

ANSWER

Answered 2021-May-28 at 17:24

Could you please clarify which line in your Dockerfile causes the error message?

Is the file you are trying to copy from your working directory yolov3-tiny_obj.cfg?

If that is the case, it fails because you specify to copy it from the builder stage. The line should probably look like this:

Source https://stackoverflow.com/questions/67742921

QUESTION

icons missing for built in 2sxc actions

Asked 2021-May-28 at 15:16

I have a strange situation. I have a DNN instance with more than one portal running on it. I started up a new portal and when I add a 2sxc content app, the icons for the built in actions like add and edit are missing. However, the other portals in the DNN instance have the icons.

You can see the blue action buttons but no icons in the following image from the site:

I have checked the rendered html on both sites and the icon button contains the same html:

...

ANSWER

Answered 2021-May-28 at 15:16

I believe something is messing with the CSS which maps the icons to the buttons.

First just up-count the client-dependency number, my guess is it would fix everything.

Otherwise debug more using inspect-element to see how the other toolbars get their icon, and what is different with this instance.

Source https://stackoverflow.com/questions/67643686

QUESTION

Is there a way to tell Razor (DNN's View Engine) to use a different Views Folder for a MVC Module?

Asked 2021-May-25 at 06:57

I'm trying to use multiple folders for my views in a custom MVC module for DNN. The goal is to choose a theme in the module settings and then depending on the setting use a different view folder (i.e. use different cshtml files for the actions). Is there a way to tell razor that it should look up other locations first? (Can I use the ViewLocationExpander in DNN for my module?) Thanks!

...

ANSWER

Answered 2021-May-25 at 06:57

I understand that you want to have some kind of App settings and have MVC use the setting to select the View for you. I believe that is possible, but there is a simpler, lower-tech way to do it if using @RenderPage() or @RenderPartial() make sense for what you are trying to do.

So imagine you start in _index.cshtml

You could either have your files in folders and construct the path (imagine the setting is something like Path = "live" or "staging"):

Source https://stackoverflow.com/questions/67520307

QUESTION

How do I get DNN Search results to display links to articles with a 2sxc app?

Asked 2021-May-18 at 22:01

I have a 2sxc app that is a list of resources. It has a listing and each item goes to a details view that has a unique URL based on the title. (The URL field is a field in the content type). Something like this domain.com/resources/details/my-amazing-resource.

When a user searches the site for "amazing", the core DNN search results module displays the results of the app, including the "My Amazing Resource" item, but it doesn't actually link to domain.com/resources/details/my-amazing-resource. It just links to domain.com/resources/.

How can I make it so the search results actually point to the unique URL of the item in the app? Is this possible? Would DNNSharp Search Boost be better for this than the core DNN search module?

...

ANSWER

Answered 2021-May-03 at 22:35

Its been over a year since I tinkered with it, but what it sounds like you are looking for requires coding. Dnn Search will get what it can from the 2sxc module automatically, but if you need to customize or improve what is being returned, then you need to CustomizeSearch() or CustomizeData() - I am not sure I have seen any decent examples, but I do know the FAQs App does this and must have a working example in it of some kind. Here is a place to stat in the 2sxc Docs, CustomizeSearch().

Source https://stackoverflow.com/questions/67375778

QUESTION

Interpreting recurrent neural networks features (RNN/LSTM)

Asked 2021-May-14 at 21:22

I tried to use shap in order to do a feature importance analysis. I am using keras and I want to get a bar chart and violin charts. With my DNN, I got something like that: Violin chart bar chart

However, when I tried it with my SimpleRNN, I had problem with the shape. The input shape is (samples,time,features), whereas my output shape is (samples,features). So it is a many-to-one RNN. KernelExplainer, the one that I used in my static models, does not work because of the dimension. DeepExplainer does not work either. It show me this error:

...

ANSWER

Answered 2021-May-14 at 21:22

I managed to fix it by adding at the beginning of my code

Source https://stackoverflow.com/questions/67533326

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install dnn

You can download it from GitHub.
You can use dnn like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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