{"push_id":2807980960,"size":1,"distinct_size":1,"ref":"refs/heads/master","head":"afce69d1617fdef39bc96e25b6e0a7e0bbfd98c4","before":"52d4fef1d7abd6f228e23fecd81878c8da362952","commits":[{"sha":"afce69d1617fdef39bc96e25b6e0a7e0bbfd98c4","author":{"name":"TAKERU TSUCHIYA","email":"3042facb74fd33d577f5e27e2d93d10f87f273a1@gmail.com"},"message":"Tuned Hyper Parameters\n\n# 重み初期値補正係数\r\nwieght_init = 0.01\r\n#入力層サイズ\r\ninput_layer_size = 4\r\n#中間層サイズ\r\nhidden_layer1_size = 64\r\nhidden_layer2_size = 128\r\nhidden_layer3_size = 128\r\n\r\nnum_hidden_layers = 3\r\n#出力層サイズ\r\noutput_layer_size = 3\r\n# 繰り返し数\r\niters_num = 3000\r\n# ミニバッチサイズ\r\nbatch_size = 60\r\n# 学習率\r\nlearning_rate=0.001\r\n# 描写頻度\r\nplot_interval= 10\r\n\r\n# Adam parameters\r\nbeta1 = 0.9\r\nbeta2 = 0.999\r\n\r\n# 正則化強度設定 ======================================\r\nweight_decay_lambda = 0.01\r\n# =================================================\r\n\r\n# ドリップアウト\r\ndropout_ratio = 0.3","distinct":true,"url":"https://api.github.com/repos/takeruts/iris-study/commits/afce69d1617fdef39bc96e25b6e0a7e0bbfd98c4"}]}
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