Moritz Hardt mrtzh

## robacc.ipynb

      
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                mrtzh
                / robacc.ipynb
            
            
              Last active
              August 29, 2015 14:05
            
              
                Noise tolerance of accelerated gradient descent
              
          
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## julia-float-bug
float("1\n")
# converts to 1.0 of type Float64

float(split("1\n")[1])
# still converts to 1.0 of type Float64

float(split("0,1\n",",")[2])
#ERROR: ArgumentError("float64(String): invalid number format")
# in float64 at string.jl:1594
# in float at string.jl:1607

## heritage
{
 "metadata": {
  "language": "Julia",
  "name": "",
  "signature": "sha256:4d8ce63592fdb86a859bb9fdac3429d74f5cc6198ea5752b0f1ccf5fff72a92e"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {

## keybase.md

      
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                mrtzh
                / keybase.md
            
            
              Created
              October 17, 2016 06:27
            
              
                keybase.md
              
          
    Keybase proof

I hereby claim:

I am mrtzh on github.
I am mrtz (https://keybase.io/mrtz) on keybase.
I have a public key whose fingerprint is 147C 87C6 DCE8 11CE C766  0C21 D327 65A9 8313 DC0A

To claim this, I am signing this object:

  
## sgd-stability.py
"""Visualize stability of stochastic gradient descent for finding a linear
separator."""

import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt

np.random.seed(1)
mpl.rcParams['axes.linewidth'] = 0.0
	float("1\n")
	# converts to 1.0 of type Float64

	float(split("1\n")[1])
	# still converts to 1.0 of type Float64

	float(split("0,1\n",",")[2])
	#ERROR: ArgumentError("float64(String): invalid number format")
	# in float64 at string.jl:1594
	# in float at string.jl:1607
	{
	"metadata": {
	"language": "Julia",
	"name": "",
	"signature": "sha256:4d8ce63592fdb86a859bb9fdac3429d74f5cc6198ea5752b0f1ccf5fff72a92e"
	},
	"nbformat": 3,
	"nbformat_minor": 0,
	"worksheets": [
	{
	"""Visualize stability of stochastic gradient descent for finding a linear
	separator."""

	import numpy as np
	import matplotlib as mpl
	import matplotlib.pyplot as plt

	np.random.seed(1)
	mpl.rcParams['axes.linewidth'] = 0.0