Forked from Jenn olsen's Pen DxhpK.
A Pen by Saumil Shah on CodePen.
| """ | |
| 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) |
| class myNNUnwrapper(): | |
| def __init__(self, inputTensor, nnModules, nnParams, verbose=False): | |
| self.inputTensor = inputTensor | |
| self.nnModules, self.nnParams = nnModules, nnParams | |
| self.verbose = verbose | |
| self.resolveAll() | |
| { | |
| "0": "tench, Tinca tinca", | |
| "1": "goldfish, Carassius auratus", | |
| "2": "great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias", | |
| "3": "tiger shark, Galeocerdo cuvieri", | |
| "4": "hammerhead, hammerhead shark", | |
| "5": "electric ray, crampfish, numbfish, torpedo", | |
| "6": "stingray", | |
| "7": "cock", | |
| "8": "hen", |
Forked from Jenn olsen's Pen DxhpK.
A Pen by Saumil Shah on CodePen.