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import tensorflow._api.v2.compat.v1 as tf tf.disable_v2_behavior() import os os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' input1 = tf.placeholder(tf.float 阅读全文
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s_43 = ones(1,128); s_43(1,:) = 36.3; % 31.2 32.5 36.3 for i = 1:128 if(z(i)==2) s_43(i) = s_43(i).*0.9; else if(z(i)==3) s_43(i) = s_43(i)*0.8; else 阅读全文
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import tensorflow._api.v2.compat.v1 as tf tf.disable_v2_behavior() import os os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' import numpy as np state = tf.Va 阅读全文
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import tensorflow._api.v2.compat.v1 as tf tf.disable_v2_behavior() import os os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' import numpy as np matrix1 = tf. 阅读全文
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训练 import tensorflow._api.v2.compat.v1 as tf tf.disable_v2_behavior() import os os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' import numpy as np x_data = n 阅读全文
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tensorflow2.0版本以上兼容tensorflow1 import tensorflow._api.v2.compat.v1 as tf tf.disable_v2_behavior() CPU 支持AVX2 FMA（加速CPU计算），但安装的 TensorFlow 版本不支持 import 阅读全文
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https://blog.csdn.net/qq_43722079/article/details/107690205 阅读全文
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https://www.cnblogs.com/arxive/p/11669034.html 阅读全文
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https://blog.csdn.net/m0_37763336/article/details/104341596 阅读全文
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线性最小二乘法 解方程组方法 x = [19 25 31 38 44]'; y = [19.0 32.3 49.0 73.3 97.8]'; r = [ones(5,1),x.^2]; ab = r\y; x0 = 19:0.1:44; y0 = ab(1)+ab(2)*x0.^2; plot(x, 阅读全文