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At the end of his final confrontation with the Beast, he got a glimpse of his full potential when the fully charged RFI amplified his powers. He began to fire Missile Bolts like he did during his first battle with the Beast. He appeared to havea permanent form of Karmic Overload he was seen using in the first battle. His Static Thrusters allowed him true flight ability, and was less hindered by the Beast's attacks. His powers were amplified to the extent that he could bring down the Beast within moments, whileit had taken a much longer time when the RFI wasn't fully charged.

Since Kessler was Cole's future self, it can be assumed that he would have gained all of Kessler's abilities had he stayed alive for as long, and perhaps even surpassed them (Kessler may not have had to restore electricity to Empire City, or look for Blast Cores in New Marais). Vince Camuto Womens Hasse 2 Shoes Oxford Black/Brown/Black J6ybB35

Cole has several weaknesses, most notably his body regulating electricity. Cole is able to store and channel electricity in and out of his body, though it comes from a different power source. Meaning, the energy he is able to produce is limited by the amount he can store. In order to use his more powerful abilities, Cole has to ILSE JACOBSEN Womens Rub 1 Rain Boot Yellow B4XsQJ
from a power source to fuel them. When out of energy, Cole can only perform minimal actions and attacks. Also, Cole's body reacts to the energy that's surrounding him. If energy is absent in the area, Cole's body weakens, which makes him even more vulnerable, considering that there is no where for him to absorb electricity. [1] [2]

Another weakness he holds involve being submerged into a large body of water. Falling into the middle of the ocean will result in Cole instantly dying, electrocuting himself enough to effectively kill him. When submerged into a waistline-deep body of water, Cole is continuously electrocuted, and will last for as long as he stays there. But, Colecan to withstand small amounts of water, as he is seen able to drink small amounts, such as bottles of water, or beer. Cole is also able to stand in a small puddle of water, although this causes the puddle to produce a static field, electrocuting anyone other than Cole that stands in it. This is the limit of his ability to interact with water, and it is stated that he must sponge bathe. [1] [2]

Mentioned by Zeke, Cole is unable to use guns, for the gunpowder reacts to the electricity at the palm of his hand, heating it up enough for the gun to explode. However, Cole can use this to his advantage, as he is able to destroy mounted machine guns used by his enemies through the use of electricity, rendering them defenseless. Cole is unable to sit in cars, for the electricity within his body reacts to the car fuel, causing it to explode. He is however, able to stand on top of cars, perhaps due to his rubber shoes, which the non-conductive surface renders the electricity immobile. Cole might not be able to hold normal cameras, as Zeke gave him a special camera that won't explode when he touches it. [1] [2]

The concept of attention is the most interesting recent architectural innovation in neural networks.

attention

Now, I don’t want to dive into too many details but a soft attention scheme for memory addressing is convenient because it keeps the model fully-differentiable, but unfortunately one sacrifices efficiency because everything that can be attended to is attended to (but softly). Think of this as declaring a pointer in C that doesn’t point to a specific address but instead defines an entire distribution over all addresses in the entire memory, and dereferencing the pointer returns a weighted sum of the pointed content (that would be an expensive operation!). This has motivated multiple authors to swap soft attention models for hard attention where one samples a particular chunk of memory to attend to (e.g. a read/write action for some memory cell instead of reading/writing from all cells to some degree). This model is significantly more philosophically appealing, scalable and efficient, but unfortunately it is also non-differentiable. This then calls for use of techniques from the Reinforcement Learning literature (e.g. REINFORCE) where people are perfectly used to the concept of non-differentiable interactions. This is very much ongoing work but these hard attention models have been explored, for example, in Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets , Reinforcement Learning Neural Turing Machines , and Show Attend and Tell .

hard attention

People . If you’d like to read up on RNNs I recommend theses from Converse Jack Purcell Ox Sneakers 157791C Natural US Mens 8/Womens 10 mftyKpVE
, Romika Mens Large Slippers Big Shoes Schwarz yuKfbKR
and Tomas Mikolov . For more about REINFORCE and more generally Reinforcement Learning and policy gradient methods (which REINFORCE is a special case of) David Silver ’s class, or one of Pieter Abbeel ’s classes.

People

Code . If you’d like to play with training RNNs I hear good things about Sneaky Steve Cumberland Mens Chelsea Boots Sj068qA
or passage for Theano, the released with this post for Torch, or this gist for raw numpy code I wrote a while ago that implements an efficient, batched LSTM forward and backward pass. You can also have a look at my numpy-based Latasa Womens PointedToe Block High Heel Faux Suede Pumps Black 9jAO8m
which uses an RNN/LSTM to caption images, or maybe this Caffe implementation by Jeff Donahue.

We’ve learned about RNNs, how they work, why they have become a big deal, we’ve trained an RNN character-level language model on several fun datasets, and we’ve seen where RNNs are going. You can confidently expect a large amount of innovation in the space of RNNs, and I believe they will become a pervasive and critical component to intelligent systems.

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