deeplearning-tutorial | Tutorial of DeepLearning.scala | Machine Learning library

 by   izhangzhihao Scala Version: Current License: No License

kandi X-RAY | deeplearning-tutorial Summary

kandi X-RAY | deeplearning-tutorial Summary

deeplearning-tutorial is a Scala library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow applications. deeplearning-tutorial has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Tutorial of DeepLearning.scala

            kandi-support Support

              deeplearning-tutorial has a low active ecosystem.
              It has 15 star(s) with 4 fork(s). There are 1 watchers for this library.
              It had no major release in the last 6 months.
              deeplearning-tutorial has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of deeplearning-tutorial is current.

            kandi-Quality Quality

              deeplearning-tutorial has no bugs reported.

            kandi-Security Security

              deeplearning-tutorial has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              deeplearning-tutorial 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.

            kandi-Reuse Reuse

              deeplearning-tutorial releases are not available. You will need to build from source code and install.

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            deeplearning-tutorial Key Features

            No Key Features are available at this moment for deeplearning-tutorial.

            deeplearning-tutorial Examples and Code Snippets

            No Code Snippets are available at this moment for deeplearning-tutorial.

            Community Discussions


            I was suffered an error when I learn useing tensorflow to build a fully connected neutral network
            Asked 2017-May-27 at 07:57

            I want to build a fully connected neutral network by tensorflow,I use the code like this.



            Answered 2017-May-27 at 07:57

            finally I found the reason by print my code and the demo from the github. It is because the function get_chunk,Ireturn the List labels[stepStart: stepStart]. def get_chunk(samples, labels, chunkSize): if len(samples) != len(labels): raise Exception('dataset is wrong!!!!!')


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


            No vulnerabilities reported

            Install deeplearning-tutorial

            You can download it from GitHub.


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