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| """Simple example on how to log scalars and images to tensorboard without tensor ops. | |
| License: BSD License 2.0 | |
| """ | |
| __author__ = "Michael Gygli" | |
| import tensorflow as tf | |
| from StringIO import StringIO | |
| import matplotlib.pyplot as plt | |
| import numpy as np |
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| %!TEX program = xelatex | |
| % Font Size: | |
| % 10pt, 11pt, 12pt | |
| % Paper Size: | |
| % a4paper, letterpaper, a5paper, leagalpaper, executivepaper, landscape | |
| % Font Family: | |
| % roman, sans | |
| \documentclass[12pt, a4paper, roman]{moderncv} | |
| % Style: |
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| #include <iostream> | |
| #include <chrono> | |
| #include <ctime> | |
| #include <cmath> | |
| class Timer | |
| { | |
| public: | |
| void start() | |
| { |
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| """ | |
| Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy) | |
| BSD License | |
| """ | |
| import numpy as np | |
| # data I/O | |
| data = open('input.txt', 'r').read() # should be simple plain text file | |
| chars = list(set(data)) | |
| data_size, vocab_size = len(data), len(chars) |