Pete Warden. Ever failed. No matter. Try Again. Fail again. Fail better.
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In TensorFlow for Poets, I showed how you could train a neural network to recognize objects using your own custom images. The next step is getting that model into users’ hands, so in this tutorial I’ll show you what you need to do to run it in your own...
Today at an AI meetup in San Francisco, NVIDIA launched Jetson TX2 and the JetPack 3.0 AI SDK. Jetson is the world’s leading low-power embedded platform, enabling server-class AI compute performance for edge devices everywhere. Jetson TX2 features an...
New Releases of DIGITS, cuDNN to Deliver 2x Faster Neural Network Training; cuDNN to Enable More Sophisticated Models SINGAPORE — July 8, 2015 — NVIDIA today announced updates to its GPU-accelerated deep learning software that will double deep learning...
At SVDS, our R&D team has been investigating different deep learning technologies, from recognizing images of trains to speech recognition. We needed to build a pipeline for ingesting data, creating a model, and evaluating the model performance....
(This article was first published on Revolutions, and kindly contributed to R-bloggers) by Anusua Trivedi, Microsoft Data Scientist Background and Approach This blog series is based on my upcoming talk on re-usability of Deep Learning Models at the...
True Engrossment of Reader is Real Profession of...
True Engrossment of Reader is Real Profession of a Writer.
SOCRATES is an international, refereed (peer-reviewed) and indexed scholarly hybrid open-access journal in Public Administration a...
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Ever tried. Ever failed. No matter. Try Again. Fail again. Fail better.
TensorFlow for Poets « Pete Warden's blog
When I first started investigating the world of deep learning, I found it very hard to get started. There wasn't much documentation, and what existed was aimed at academic researchers who already knew...
Take a look at this function: for (j = 0; j < n; j++) { for (i = 0; i < m; i++) { float total(0); for (l = 0; l < k; l++) { const size_t a_index = ((i * a_i_stride) + (l * a_l_str...
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