Hi folks
I have a background in programming and networking and I have been studying some of the latest advances in machine learning.
The idea is that if enough data is gathered, preferably in an automated fashion, and we can train up a convolutional neural network with it, we should be able to do some prediction about what to expect from the progeny of an inbreed cross. I think it would work maybe ok with inbreeding because all the genes are contained within the P1s and once you can input the F1s data it should be able to predict the F2.
The data inputs can be diverse and one would not have to program very much about how the neural network reasons about the data. We could input terpine analysis profiles, cannabiniod profiles, genetic analysis, plant dimensions, growth durations, all kinds of data.
As an output we would want a prediction of some of the same inputs that we put in. What kind of cannabinoids, terpines, morphological proportions etc.
So there are a few free machine learning networks released to be used by the public. For example we have google vision API https://cloud.google.com/vision/ and we have IBMs watson and there are quite a few run at home type binaries like Tensor Flow https://www.tensorflow.org/.
I don't think we are quite there yet in making this happen. First of all it would take a LOT of data to train any kind of accurate network, and it would take a lot of machine power which is less of a barrier if one leverages the power of a network already set up by a large company like google. But we are already seeing some amazing things coming from these networks and i think it wont be too long before we can compose various trained networks together to create a super network that would be able to do this.
With 50 qubit quantum computing on the horizon I see a bright future for data driven business.
I did hear recently that some people came up with a way to genetically analyse a seed and generate a terpine profile that the plant would have had if grown. This is really cool!
Thought I would share with you all my stoned thoughts because it excites me!
I have a background in programming and networking and I have been studying some of the latest advances in machine learning.
The idea is that if enough data is gathered, preferably in an automated fashion, and we can train up a convolutional neural network with it, we should be able to do some prediction about what to expect from the progeny of an inbreed cross. I think it would work maybe ok with inbreeding because all the genes are contained within the P1s and once you can input the F1s data it should be able to predict the F2.
The data inputs can be diverse and one would not have to program very much about how the neural network reasons about the data. We could input terpine analysis profiles, cannabiniod profiles, genetic analysis, plant dimensions, growth durations, all kinds of data.
As an output we would want a prediction of some of the same inputs that we put in. What kind of cannabinoids, terpines, morphological proportions etc.
So there are a few free machine learning networks released to be used by the public. For example we have google vision API https://cloud.google.com/vision/ and we have IBMs watson and there are quite a few run at home type binaries like Tensor Flow https://www.tensorflow.org/.
I don't think we are quite there yet in making this happen. First of all it would take a LOT of data to train any kind of accurate network, and it would take a lot of machine power which is less of a barrier if one leverages the power of a network already set up by a large company like google. But we are already seeing some amazing things coming from these networks and i think it wont be too long before we can compose various trained networks together to create a super network that would be able to do this.
With 50 qubit quantum computing on the horizon I see a bright future for data driven business.
I did hear recently that some people came up with a way to genetically analyse a seed and generate a terpine profile that the plant would have had if grown. This is really cool!
Thought I would share with you all my stoned thoughts because it excites me!