sdwfrost

cd repository
git checkout --orphan orphan_name
git rm -rf .
rm '.gitignore'
echo "#Title of Readme" > README.md
git add README.md
git commit -a -m "Initial Commit"
git push origin orphan_name

sdwfrost

sdwfrost

sdwfrost

// Import the lib/ mmodules via relative paths
const Color = AS.Color
const ColorMap = AS.ColorMap
// import Color from '../../src/Color.js'
// import DataSet from '../../src/DataSet.js'
// import Mouse from '../../src/Mouse.js'
const Model = AS.Model
const util = AS.util

const modules = {Color, ColorMap, Model, util }

sdwfrost

"""
This is a batched LSTM forward and backward pass
"""
import numpy as np
import code

class LSTM:
  
  @staticmethod
  def init(input_size, hidden_size, fancy_forget_bias_init = 3):

sdwfrost

###
### This is a batched LSTM forward and backward pass. Written by Andrej Karpathy (@karpathy)
### BSD License
### Re-written in R by @georgeblck
###

rm(list=ls(all=TRUE))

LSTM.init <- function(input_size, hidden_size, fancy_forget_bias_init = 3){
  # Initialize parameters of the LSTM (both weights and biases in one matrix) 

sdwfrost

import numpy as np

from utils import orthogonal, tanh, sigmoid, dtanh, dsigmoid


class LSTM(object):
	"""Long Short Term Memory Unit
	
	Parameters
	----------

sdwfrost

# Example for my blog post at:
# https://danijar.com/introduction-to-recurrent-networks-in-tensorflow/
import functools
import sets
import tensorflow as tf


def lazy_property(function):
    attribute = '_' + function.__name__

sdwfrost

sdwfrost