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License: Apache License 2.0
Akin to the concept between the "me" who wants to change and talk with the "I". Grows with EC.
C++ or python?
Make project work on VSCode. If not, it will be impossible to debug, may have to change IDE.
Currently: Array[int] - Each int is the number of nodes in each layer.
I dislike a neural gene that consists of the architecture. It should allow the architecture to exist, but let the architecture grow much further.
Therefore there is no need for a "neural gene". We could just a specific seed that generates a 'starter neural net', and let the neural net grow from that.
That said, neural net cannot get too big. Exploding/vanishing gradients will pretty much 'kill it'.
We do need concepts of termination to happen though.
ERROR: Unable to start debugging. Unexpected GDB output from command "-exec-run". Unable to find Mach task port for process-id 1283: (os/kern) failure (0x5).
(please check gdb is codesigned - see taskgated(8))
Still, I have debugging disabled for csrutil. Might want to revert back though.
Develop FFN and simple back propagation. Keep scalability/evolution in mind
The first one may be solely evolutionary, and it must encode neural networks with specific 'genes'. The 'genetic coding' may start arbitrarily as it will progress towards a specific goal. Evolution will be random.
The inner will be goal-specific, and there will be possibly many networks (ensemble) like this within the higher one. Also, the inner will have a environment and fine-tuning, but it should be made generalizable as simulations or goals change. That said, use MNIST for starters.
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