You can master Computer Vision, Deep Learning, and OpenCV - PyImageSearch
Today’s tutorial is inspired by a post I saw a few weeks back on /r/computervision asking how to recognize digits in an image containing a thermostat identical to the one at the top of this post. As Reddit users were…
Read More of Recognizing digits with OpenCV and Python
Last week I wrote a post detailing my experience with CUDAMat, Deep Belief Networks, and Python using my MacBook Pro. The post is fairly long and full of screenshots to document my experience. But the gist of it is this:…
Read More of Deep Learning on Amazon EC2 GPU with Python and nolearn
Grab the tissues. This is a tail of my MacBook Pro, a GPU, and the CUDAMat library — and it doesn’t have a happy ending. Two weeks ago I posted a Geting Started with Deep Learning and Python guide. The…
Read More of My Experience with CUDAMat, Deep Belief Networks, and Python
In my last post, I mentioned that tiny, one pixel shifts in images can kill the performance your Restricted Boltzmann Machine + Classifier pipeline when utilizing raw pixels as feature vectors. Today I am going to continue that discussion. And…
Read More of Applying deep learning and a RBM to MNIST using Python
Can you tell the difference between the two images above? Probably not. The one on the right has been shifted one pixel down. And while it still looks like the same image to us, to a Restricted Boltzmann Machine, this…
Read More of How 1 pixel shifts in images can kill your RBM performance
