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Is there some sort of software that can do so? Specifically, I would like to visualize Resnet18. Is there no other way other than to just draw it myself? Here is an example of what I want to see:
Sample Architecture Visualization
You can use this one : http://alexlenail.me/NN-SVG/LeNet.html . It lets you visualize neural networks by letting you modify several parameters and finally lets you export the architectures as SVG files. You can also choose between 3 visualization styles, namely FCNN, LeNet & AlexNet.
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For the model in the pandas dataset, is it okay to use the target column when adding a new feature?
How does it affect the model ?
No, the general rule is you should not utilize the data which will not be available in testing or real-application. It will probably result in overfitting.
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Can anyone please help me to distinguish between darknet and darkflow. Advantages of one over the other. My understanding about YOLO (You Only Look Once) is an algorithm for fast object detection.
Darknet is the name of the framework YOLO is originally implemented on.
Note DarkNet-XX (XX=19/51) is also the name of the backbone YOLO uses.
Darkflow is a nickname of an implementation of YOLO on TensorFlow.
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Should I normalize input data to normal distribution before fit it into RNN? If yes, why? At the moment almost all the columns are right shifted, so it's not a normal distribution at all.
You do not necessarily need to transform the inputs to a normal distribution, but you might want to preprocess them so that the majority of each of their values is between 0 and 1. Otherwise, when using sigmoid functions for internal nodes, you may cause saturation. If your inputs are each U(0, 1000), for example, then there's no need to transform to normal distributions, but rather to just scale by 0.001.
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So, I am currently making a 1942-style game. How can/should I set up the path for my enemies? I know I could do it with CGPathRef but is there an easier way to do it? It seems pretty out of place for more complex paths like for example these 2 I'd like to implement:
http://i.imgur.com/K4WYgma.png
(Sorry I can't directly post pictures, I need at least 10 reputation)
Or at least, I haven't found any documentation explaining how to create more complex shapes with CGPaths.
So what are your recommendations?
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I am using the OpenCv Library for the object detection.
I downloaded the given example of face detection. In this example they are using haarcascade_frontalface_default.xml.
I have to detect Nail in hand. Please suggest me how can I do it?
I also saw this-
http://docs.opencv.org/doc/tutorials/features2d/detection_of_planar_objects/detection_of_planar_objects.html#detectionofplanarobjects
Please suggest me how I detect nail in hand.