https://undeadmockingbird.github.io/dump/tensorflow_ssd.html

Here

It's only 50 lines of code and the model I'm using is pre-trained.

I can still apply transfer-learning to it, though, to adjust it.

what do you guys think about 5G? I saw a lot of vids. predicting it will fk with our DNA and give us cancer? on the other hand some guys saying that these guys are overexaggurating n stuff n that this 4G is already simmilar to what we'll have, but i hear 5G is gonna be like 10x stronger?

It's a regular .PB model that's being loaded, with all the graph weights modifiable.

Lame

I'm not sure about 5G.

Also, the image recognition is NOT lame.

It can recognize 22,000 image classes.

You go train a model like that on your home computer.

Using someone else's pre made code is

can it recognize khazar milkers tho

Ah, but poo-pooing someone else's work is greaT?

5g is good but it's entirely Chinese controlled as if now

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.