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| import numpy as np | |
| def run_trial(): | |
| # Hidden Variables | |
| a = np.random.rand() | |
| b = np.random.rand() | |
| c = np.random.rand() | |
| # Create 3 variables sampled from normal distributions | |
| var1 = np.random.normal(loc=a, scale=1) |
iantimmis
/ softmax_cross_entropy.py
Created
October 12, 2020 03:54
Numerically stable softmax with cross entropy in numpy
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| import numpy as np | |
| def naive_softmax(logits): | |
| ''' | |
| Failure modes: | |
| * If any entry is very large, exp overflows | |
| * if all entries are very negative, all exps underflow | |
| ''' | |
| exp_logits = np.exp(logits) | |
| return exp_logits / np.sum(exp_logits) |