Ollin Boer Bohan madebyollin

## simple-backprop.py
"""
Simple example of manually performing "automatic" differentiation
"""
import numpy as np
from numpy import exp, sin, cos


def f(x, with_grad=False):
    # Need to cache intermediates from forward pass (might not use all of them).
    a = exp(x)

## freeze_stable_baselines.py
'''
Freezing a stable-baselines to a frozen protocol buffer file to be served.
https://github.com/hill-a/stable-baselines

Some code taken from this lovely blog series
https://blog.metaflow.fr/tensorflow-how-to-freeze-a-model-and-serve-it-with-a-python-api-d4f3596b3adc
'''

import tensorflow as tf
import os
	"""
	Simple example of manually performing "automatic" differentiation
	"""
	import numpy as np
	from numpy import exp, sin, cos


	def f(x, with_grad=False):
	# Need to cache intermediates from forward pass (might not use all of them).
	a = exp(x)
	'''
	Freezing a stable-baselines to a frozen protocol buffer file to be served.
	https://github.com/hill-a/stable-baselines

	Some code taken from this lovely blog series
	https://blog.metaflow.fr/tensorflow-how-to-freeze-a-model-and-serve-it-with-a-python-api-d4f3596b3adc
	'''

	import tensorflow as tf
	import os