CarND-Traffic-Sign-Classifier-Project | Jupyter notebook for the Udacity Self | Machine Learning library

 by   jeremy-shannon HTML Version: Current License: No License

kandi X-RAY | CarND-Traffic-Sign-Classifier-Project Summary

kandi X-RAY | CarND-Traffic-Sign-Classifier-Project Summary

CarND-Traffic-Sign-Classifier-Project is a HTML library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow applications. CarND-Traffic-Sign-Classifier-Project has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

In this project, you will use what you've learned about deep neural networks and convolutional neural networks to classify traffic signs. You will train a model so it can decode traffic signs from natural images by using the German Traffic Sign Dataset. After the model is trained, you will then test your model program on new images of traffic signs you find on the web, or, if you're feeling adventurous pictures of traffic signs you find locally!.
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              CarND-Traffic-Sign-Classifier-Project has a low active ecosystem.
              It has 58 star(s) with 40 fork(s). There are 7 watchers for this library.
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              It had no major release in the last 6 months.
              There are 2 open issues and 0 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of CarND-Traffic-Sign-Classifier-Project is current.

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              CarND-Traffic-Sign-Classifier-Project has 0 bugs and 0 code smells.

            kandi-Security Security

              CarND-Traffic-Sign-Classifier-Project has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              CarND-Traffic-Sign-Classifier-Project code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              CarND-Traffic-Sign-Classifier-Project does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

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              CarND-Traffic-Sign-Classifier-Project releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.
              It has 58969 lines of code, 0 functions and 1 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

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            CarND-Traffic-Sign-Classifier-Project Key Features

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            CarND-Traffic-Sign-Classifier-Project Examples and Code Snippets

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            Community Discussions

            QUESTION

            Tensorflow ImportError: No module named '_pywrap_tensorflow_internal' on Windows 10
            Asked 2018-Jul-24 at 06:19

            I am doing the self driving course with Udacity. There is a common environment which I launched in windows 10 and I was able to run tensorflow fine but I want to use the GPU.

            My GPU is listed as compatible (GTX 950M).

            I followed the tensorflow instructions on windows 10 to add the GPU:

            https://www.tensorflow.org/install/install_windows

            and downloaded and installed cuda_8.0.61_win10

            Next I restarted my environment. I checked to see it was working with the simple python program:

            ...

            ANSWER

            Answered 2017-May-01 at 19:11

            You need to install cudnn. Only version 5.1 is officially supported right now. Don't know if the renaming trick for 6.0 mentioned at:

            Cannot import Tensorflow for GPU on Windows 10

            Source https://stackoverflow.com/questions/43721690

            QUESTION

            Tensorflow Conv2d function - Type error
            Asked 2018-Mar-15 at 09:37

            I'm working on a neural net problem, and in the conv2d function, i'm getting a Type mismatch issue.

            Here's the code snippet conv_layer1 = tf.nn.conv2d(inputs, w_layer1, strides=strides, padding='VALID') + b_layer1

            I'm getting this error

            TypeError: Expected binary or unicode string, got >

            I tried having [1,1,1,1] inline aswell as a variable, but no luck

            The complete error trace is here(search for "In [46]:" https://github.com/mymachinelearnings/CarND-Traffic-Sign-Classifier-Project/blob/attempt1/Traffic_Sign_Classifier.ipynb

            ...

            ANSWER

            Answered 2018-Mar-15 at 09:37

            Looks like a typo. In your notebook, you're feeding input into your network which is a built-in python method to get input from e.g. a keyboard. Obviously this doesn't make much sense as input to a convolutional network. Chances are you meant to type inputs as in your question?

            Note that the syntax highlighting in the notebook shows this quite clearly -- input is displayed in green (at least in my browser) signifying that it has a special meaning.

            Source https://stackoverflow.com/questions/49293263

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

            Vulnerabilities

            No vulnerabilities reported

            Install CarND-Traffic-Sign-Classifier-Project

            You can download it from GitHub.

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