Julesanger

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== ROBIN Julesanger ==
== ROBIN Julesanger ==
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Here's the words to a few ROBIN themed Christmas songs, perfect for the julebord.
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Here's the words to a few ROBIN themed Christmas songs, perfect for the julebord.[[Fil: Here's a song sheet for the party.]]
=== O GPU ===
=== O GPU ===
Line 62: Line 62:
You know Atlas, and BigDog, and SmallDog and Pepper,
You know Atlas, and BigDog, and SmallDog and Pepper,
 +
You know Asimo, and Hubo, and Aibo and Pleo,
You know Asimo, and Hubo, and Aibo and Pleo,
 +
But do you recall,
But do you recall,
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The most famous robot of them sall.
+
 
 +
The most famous robot of them all.
 +
 
Dyret the quadrupedal robot
Had some very shiny toes.
And if you ever saw them
You would even say they glow

Dyret the quadrupedal robot
Had some very shiny toes.
And if you ever saw them
You would even say they glow

 +
All of the other robots
Used to laugh and call him names
They never let poor Dyret
All of the other robots
Used to laugh and call him names
They never let poor Dyret
 +
Join in their experiments.
Join in their experiments.
 +
Then one foggy Christmas Eve,
Then one foggy Christmas Eve,
 +
Tønnes came to say,
Tønnes came to say,
 +
Dyret with your toes so bright,
Dyret with your toes so bright,
 +
Won't you please evolve tonight
Won't you please evolve tonight
 +
Then all the robots saw him,
Then all the robots saw him,
 +
Skip and run and jump with glee,
Skip and run and jump with glee,
 +
“Dyret the quadrupedal robot,
“Dyret the quadrupedal robot,
 +
You have out-evolved me”.
You have out-evolved me”.
Line 85: Line 99:
On the first day of Christmas my advisor gave to me
On the first day of Christmas my advisor gave to me
-
A Feature in a Decision Tree...
 
-
Two Neural Nets.
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twelve fitness functions,
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Three Forward Models.
+
 
-
Four Kernel Methods.
+

eleven genes mutating,

-
Five Turtle Bots.
+
 
-
6 Softmax Layers.
+
ten ConvNets learning,

-
7 Agents Swarming.
+
 
-
8 Gradients Clipping.
+
nine lidars tracking,
-
9 Vicons Tracking.
+
 
-
10 ConvNets Learning.
+

eight gradients clipping,
-
11 Genes Mutating.
+
 
-
12 Fitness Functions.
+
seven agents swarming,
 +
 
 +

six softmax layers,
 +
 
 +
five turtle bots,
 +
 
 +

four kernel methods,
 +
 
 +

three forward models,
 +
 
 +

two neural nets,
 +
 
 +

and a feature in a decision tree.

Revision as of 14:46, 21 December 2017

Contents

ROBIN Julesanger

Here's the words to a few ROBIN themed Christmas songs, perfect for the julebord.Fil: Here's a song sheet for the party.

O GPU

(Melody: O Christmas tree / O Tannenbaum)

O G-P-U, O G-P-U,

Your CUDA cores delight us!

O G-P-U, O G-P-U,

With RAM to store our corpus!

Your power draw, needs lots of watts,

but heats our rooms without more cost.

O G-P-U, O G-P-U,

Your hardware specs enchant us!


O GPU, O GPU,

You train our models faster!

O GPU, O GPU,

Avoid deadline disaster!

You help us work in Tensorflow,

in PyTorch, Keras, Theano

O GPU, O GPU,

Our batches will train faster!


O GPU, O GPU,

Computing pow’r that daunts us!

O GPU, O GPU,

Deep model learning haunts us!

If gradients vanish, training fails,

drop learning rates to no avail.

O GPU, O GPU,

At least there’s always Crysis!

Dyret the Quadrupedal Robot

(Melody: Rudolph the red-nosed reindeer)

You know Atlas, and BigDog, and SmallDog and Pepper,

You know Asimo, and Hubo, and Aibo and Pleo,

But do you recall,

The most famous robot of them all.


Dyret the quadrupedal robot
Had some very shiny toes.
And if you ever saw them
You would even say they glow


All of the other robots
Used to laugh and call him names
They never let poor Dyret

Join in their experiments.


Then one foggy Christmas Eve,

Tønnes came to say,

Dyret with your toes so bright,

Won't you please evolve tonight


Then all the robots saw him,

Skip and run and jump with glee,

“Dyret the quadrupedal robot,

You have out-evolved me”.

The Twelve Intelligent Systems of Christmas

(Melody: The twelve days of Christmas, text follows the familiar pattern)

On the first day of Christmas my advisor gave to me

twelve fitness functions,


eleven genes mutating,


ten ConvNets learning,


nine lidars tracking,


eight gradients clipping,

seven agents swarming,


six softmax layers,

five turtle bots,


four kernel methods,


three forward models,


two neural nets,


and a feature in a decision tree.

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