ResultElf

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[ResultElf @ResultElf]

#blog on implementing neural networks. #caffe, #encog, #TensorFlow, #PyTorch

https://t.co/7iGkq4jdGo

[ResultElf @ResultElf]

Jukka Suuronen joining ResultElf as CEO and Co-founder. See the press release on the link for details.
@jsuuronen

#DigitalTransformation #ai #technology #leadership #ResultElf
https://t.co/w7tVKIkB5L

[ResultElf @ResultElf]

#Blog "By itself a neural network is something of a black box. Fully trained it will accept inputs, and produce outputs that hopefully makes sense. But nobody knows how it arrives at that particular outcome, or how it reasons. This is a problem."
https://t.co/Lm5UW36BT8

[ResultElf @ResultElf]

"Given that you were able to train a neural network to work successfully in and out of sample still means this neural network may stop working over time. There are many reasons why this may happen." #blog
https://t.co/UKfZNaL8hg

[ResultElf @ResultElf]

When training neural networks, proper data is crucial. Learn about data normalisation, outlier removal and redudancy removal on our #blog post.

https://t.co/4AaJEko3Je

[ResultElf @ResultElf]

Do you always need a lot of data to make use of neural networks What supervised, unsupervised and reinforcement learning means? #blog

https://t.co/Lna337oxW1 https://t.co/3kAm3pPhHr

[ResultElf @ResultElf]

The learning algorithm of a neural network tries to optimise the neural network's weights until some stopping condition has been met. How do we do it? #blog

https://t.co/X5OnhBU5hc

[ResultElf @ResultElf]

Does size matter when it comes to #NeuralNetworks? Yes it does, but not always in obvious ways. #blog

https://t.co/OZwHQrugot

[ResultElf @ResultElf]

"Many modern day advances in the field of machine learning do not come from rethinking the way that perceptrons and optimisation algorithms work but rather from being creative regarding how these components fit together." #blog

https://t.co/9wCrjLZBwV

[ResultElf @ResultElf]

#Blog post on #MachineLearning misconceptions: "NNs are not a weak form of statistics"

https://t.co/dEiO48yWBG

[ResultElf @ResultElf]

"Machines are not brains. This truism is doubly true for neural networks, notwithstanding the fact that they claim to exhibit some kind of intelligence." Continue reading on our series of #blog posts on #machinelearning misconceptions.

https://t.co/qZo2HplnEP

[ResultElf @ResultElf]

Nature is excellent at problem solving. One of the perennial problems is to ensure the organism survives in a hostile and ever-changing world. Read more in our #blog post about neural networks.

https://t.co/JkVSyIJWZ7

[ResultElf @ResultElf]

Want to learn about #AI? Dig deeper in our #blog post "Learning AI: An Intelligent Endeavour"

https://t.co/J99qcSXGIw

[ResultElf @ResultElf]

We all remember that immortal phrase, ���I can’t do that Dave,” especially now when it’s almost 20 years after it was purported to have happened. But is the menace real? Are there danger in full-scale deployment of AI systems? Read more on our #blog.

https://t.co/yMKMyxZv6C

[ResultElf @ResultElf]

"Not only cat videos. I remember well reading about Google’s AI recognising cat videos on the web in an article in WIRED in December 2012. I thought 'wow, where is this going?'. Now we know the answer: everywhere." Check our #blog:
https://t.co/khTzI20po3

[ResultElf @ResultElf]

Genetic algorithms, neural networks. What are they? Follow our series of AI related #blog posts.

https://t.co/cD7dvMvbcJ

[ResultElf @ResultElf]

Hans Moravec, the futurist, once said ‘Machines find routine human tasks hard. Humans find routine machine tasks hard’.

Read more on our #blog:

https://t.co/R87drizUPY

[ResultElf @ResultElf]

What is Artificial Intelligence Anyway? Since intelligence is a nebulous concept, it is clear the artificial intelligence is more so. Let’s delve into the question of what it is, and what it isn’t — and clear up some misconceptions on the way.
https://t.co/mJ3Nzi2sSe

[ResultElf @ResultElf]

Check our updated web site, https://t.co/mHZcgb9y3s