CarND-Traffic-Sign-Classifier-Project | Jupyter notebook for the Udacity Self | Machine Learning library
kandi X-RAY | CarND-Traffic-Sign-Classifier-Project Summary
kandi X-RAY | CarND-Traffic-Sign-Classifier-Project Summary
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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QUESTION
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 19:11You 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:
QUESTION
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 09:37Looks 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.
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