What to feed to the input of the neural network? Your ideas... - page 3
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Why don't you learn Pytorch first? IO is a designer. Although there are a lot of dummies here with "experience in building AI".....
Neural Networks return an average (overall) result based on trained history.
Forests return a roughly similar result from historical data. Therefore, it is more often accurate than NS.
So what kind of result is needed?
In my library I am exploring both types of results.
...
So what's the result you're looking for?
...
Read the title of the thread
Read the title of the thread
So what? You've thought about getting in. and you'll think about the exit in another topic? :D
Primitive example:
Entry - stochastic for 10 bars
Output - O relative to H1-L1
So, what? You've thought about getting in. and you'll think about the exit in another thread? :D
Yeah, they didn't ask you.
A primitive example:
Entry - stochastic for 10 bars
Output - O relative to H1-L1
Masterpiece! You can immediately feel the depth of immersion in the topic and the power of knowledge.
A primitive example:
Entry - stochastic for 10 bars
Output - O relative to H1-L1
and for this we need NN ?
You can do with stochastic formula and some statistics. ATR is known in advance with sufficient accuracy, it's cyclical.
So it's the wrong problem. NN is applied to things that cannot be calculated or specified in any other way, or there is no time to calculate them accurately, in any other case ("we have found a reasonable way to get not much worse results") they are sharply rejected.
and that's what NNs are for ?
You can get by with a stochastic formula and some statistics. ATR is known in advance with sufficient accuracy, it is cyclic.
So it's the wrong problem. NN is forced on things that cannot be calculated or specified in any other way, or there is no time to calculate them accurately, and in any other case ("we have found a reasonable way to get not much worse results") they are abruptly abandoned.
So you have not yet understood what a neural network is, why it is needed and how it works.... How can you talk such rubbish? How can you get by with a stochastic formula? Well, it's utter nonsense, absolute ignorance, but so much poncey.
So you have not yet understood what a neural network is, why it is needed and how it works.... How can you talk such rubbish? How can you get by with a stochastic formula? Well, it's utter nonsense, absolute ignorance, but so much poncey.
Did you get your dick pinched again?
Did you get your dick pinched again?
Why are you turning the tables? Come on, tell me how you will manage here with one stochastic formula and where will you shove the mentioned statistics?