Oh my god i knew it
You are supposed to re-use models.
That's the point of having it and training it for months.
@Tero Is a trap indeed
I don't have a datacenter in my backyard.
@Deleted User talking about tensor flow not the model lolo
I can train a neural network, no problem. There is nothing difficult about it.
Ah.
So using Tensorflow is lame. XD
Gotcha.
<:GWjiangoOmegaLUL:389904150886088723>
Half of the AI projects are lame then.
And maybe they are...
But Tensforflow is still cool.
Actually, Keras is better.
Or easier at least.
I trained a neural network with just three layers to an accuracy of 96% on the MNIST dataset.
I think it took 5 minutes on my laptop.
I also put peanut butter on my nose. /thread
a neural network is basically a self-improving AI?
@Deleted User
It's like a structure for statistical learning.
You have weights that determine how strong each neuron contributes.
(((statistical learning))) what the hell
>Whoa, no one said these Central Americans were going to live in MY city!
Each neuron is basically a function of its inputs from the previous layer.
Then you look at how far your output is from the intended result.
women literally unable to think in general principles, only about what is right in front of them, the image
You can then use gradient descent or another error estimation method to back propagate the changes through your neural network.
wow
Common activation functions are sigmoid, tanh, RELU, identity function, and extended sigmoid.
i gotta get in this shit one day, to busy rn tho
That's the neat part: it's easy with tensforflow.
Look at my source. It's only 50 lines.
the fuck? only 50?
You can train it on other things, too. I have a neural network trained to recognize bots on Minds.
and it's not polished code?
Because I hate those thot accounts that are just spam.
They all impersonate Vietnamese women, but they have a certain naming and posting pattern, so I trained a neural network to recognize real users and bots.
Nothing polished.
I suck at JavaScript.
