The initial source comes from sdcuike/issueBlog#4
https://github.com/PacktPublishing free to download books code by Packet
https://github.com/EbookFoundation/free-programming-books Very immense
https://github.com/PacktPublishing free to download books code by Packet
https://github.com/EbookFoundation/free-programming-books Very immense
This gist summarises the tensorflow related steps I took to get the above combo working.
When its all tested in c++ I'll update the instructions fully (and add anything I forgot below).
But in summary ( with the current master dd06643cf098ed362212ce0f76ee746951466e81 ):
I have uploaded the pip wheel which I believe should work if you have the same setup but no promises (built for compute capability 3.5, 5.2, 6.0 and named tensorflow-gpu
).
Install with (not sure dropbox allows this direct linking):
This is an Keras implementation of ResNet-152 with ImageNet pre-trained weights. I converted the weights from Caffe provided by the authors of the paper. The implementation supports both Theano and TensorFlow backends. Just in case you are curious about how the conversion is done, you can visit my blog post for more details.
ResNet Paper:
Deep Residual Learning for Image Recognition.
Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
arXiv:1512.03385
http://www.oreilly.com/data/free/files/2014-data-science-salary-survey.pdf | |
http://www.oreilly.com/data/free/files/2015-data-science-salary-survey.pdf | |
http://www.oreilly.com/data/free/files/Data_Analytics_in_Sports.pdf | |
http://www.oreilly.com/data/free/files/advancing-procurement-analytics.pdf | |
http://www.oreilly.com/data/free/files/ai-and-medicine.pdf | |
http://www.oreilly.com/data/free/files/analyzing-data-in-the-internet-of-things.pdf | |
http://www.oreilly.com/data/free/files/analyzing-the-analyzers.pdf | |
http://www.oreilly.com/data/free/files/architecting-data-lakes.pdf | |
http://www.oreilly.com/data/free/files/being-a-data-skeptic.pdf | |
http://www.oreilly.com/data/free/files/big-data-analytics-emerging-architecture.pdf |
#define MAXTIMINGS 85 | |
#define cli noInterrupts | |
#define sei interrupts | |
#define DHT11 11 | |
#define DHT22 22 | |
#define DHT21 21 | |
#define AM2301 21 |