From 2dec1df539eb1bc502c966e7d4f7d08e5cb914cf Mon Sep 17 00:00:00 2001 From: "E. Almqvist" Date: Wed, 30 Sep 2020 18:17:30 +0200 Subject: [PATCH] Added debug because I have no clue if it is working --- rgbAI/cost.txt | 10000 ++++++++++++++++++++++++++++++++++++++++++++ rgbAI/lib/func.py | 6 +- rgbAI/main.py | 2 +- 3 files changed, 10004 insertions(+), 4 deletions(-) create mode 100644 rgbAI/cost.txt diff --git a/rgbAI/cost.txt b/rgbAI/cost.txt new file mode 100644 index 0000000..d8e1bd0 --- /dev/null +++ b/rgbAI/cost.txt @@ -0,0 +1,10000 @@ +Cost: 0.07137650877733731 +Cost: 0.052862857256156165 +Cost: 0.12732351358097263 +Cost: 0.032516300248451376 +Cost: 0.17214804841205178 +Cost: 0.13201346805196082 +Cost: 0.1729013987930217 +Cost: 0.1427267806242181 +Cost: 0.08991848332650952 +Cost: 0.06839591542743917 +Cost: 0.0991085732108798 +Cost: 0.12139290176656564 +Cost: 0.09072766804684766 +Cost: 0.042972195640231636 +Cost: 0.25447921540918417 +Cost: 0.08084741561025878 +Cost: 0.10299974688563635 +Cost: 0.024212401913960974 +Cost: 0.11943641189318015 +Cost: 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obj1, obj2 ) else: - return grads, cost2 + return grads, res1, cost1 def mutateProps( obj, maxLen:int, gradient:list ): for i in range(maxLen): @@ -95,7 +95,7 @@ class AIlib: # i.e. : W' = W - lr * gradient (respect to W in layer i) = W - lr*[ dC / dW[i] ... ] # So if we change all the weights with i.e. 0.01 = theta, then we can derive the gradient with math and stuff maxLen = len(obj.bias) - grads, cost = AIlib.gradient( inp, obj, theta, maxLen - 1 ) + grads, res, cost = AIlib.gradient( inp, obj, theta, maxLen - 1 ) AIlib.mutateProps( obj, maxLen, grads ) # mutate the props for next round - print("Cost:", cost) + print("Cost:", cost, "|", inp, res) diff --git a/rgbAI/main.py b/rgbAI/main.py index d4d06b2..35bb2b6 100755 --- a/rgbAI/main.py +++ b/rgbAI/main.py @@ -55,7 +55,7 @@ class rgb(object): def init(): bot = rgb() - bot.traintimes = 10 + bot.traintimes = 10000 bot.train()