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diogoaurelio / min-char-rnn.py
Created Nov 21, 2018 — forked from karpathy/min-char-rnn.py
Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy
View min-char-rnn.py
"""
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)
View iam.tf
variable "role_name" {}
variable "role_policy_file" {}
resource "aws_iam_role" "role" {
name = "${var.role_name}"
assume_role_policy = "${file("${path.module}/policies/${var.role_policy_file}")}"
}
output "role_arn" {
value = "${aws_iam_role.role.arn}"
View assume-role-policy.json
{
"Version": "2012-10-17",
"Statement": [
{
"Action": "sts:AssumeRole",
"Principal": {
"Service": "ec2.amazonaws.com"
},
"Effect": "Allow",
"Sid": ""