Frank Ibem frankibem

## ctc_decoder.py
"""
Author: Awni Hannun

This is an example CTC decoder written in Python. The code is
intended to be a simple example and is not designed to be
especially efficient.

The algorithm is a prefix beam search for a model trained
with the CTC loss function.

## rl-tutorial-2.ipynb

      
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                awjuliani
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                Reinforcement Learning Tutorial 2 (Cart Pole problem)
              
          
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## Linux Bash generate a number of files of random sizes in a range
#!/bin/bash
# generate a number of files with random sizes in a range

min=1      # min size (MB)
max=10     # max size (MB)
nofiles=20 # number of files

for i in `eval echo {1..$nofiles}`
do
    dd bs=1M count=$(($RANDOM%max + $min)) if=/dev/urandom of=./files/file$i
	"""
	Author: Awni Hannun

	This is an example CTC decoder written in Python. The code is
	intended to be a simple example and is not designed to be
	especially efficient.

	The algorithm is a prefix beam search for a model trained
	with the CTC loss function.
	#!/bin/bash
	# generate a number of files with random sizes in a range

	min=1 # min size (MB)
	max=10 # max size (MB)
	nofiles=20 # number of files

	for i in `eval echo {1..$nofiles}`
	do
	dd bs=1M count=$(($RANDOM%max + $min)) if=/dev/urandom of=./files/file$i