I saw the Flux pages, but the examples are not clear to me.
Since Flux is simple and fast, would someone please post an example of how to make a simple 1 layer Perceptron using Flux?
Such an example would be a springboard to more complicated neural networks.
Maybe look at this code and change the line that reads
m = Chain( ... ) to only contain one layer ?
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"using Flux, Flux.Data.MNIST, Images\n",
"using Flux: onehotbatch, argmax, crossentropy, throttle\n",
"using Base.Iterators: repeated, partition"
Use just simple
Dense(m, n, foo), where foo is some activation function, m is the size of input, n is the size of output. By the way, if you want to dig deeper into Flux, I recommend Julia academy short course on Deep learning.
Do you happen to have a link to the short course you mentioned?
Thank you so much!
Do you happen to know if there is an example of doing a Deep Reinforcement Learning network in Flux?
Yes thank you.
I’ve seen that, but it’s not the same as as an example in Flux of a Deep Reinforcement Learning Network.
You can find it here:
Also there was a topic about Julia academy on Discourse.