python类clip()的实例源码-第2页-面圈网

dsb_a_eliasq14_mal2_s5_p8a1_all.py 文件源码项目：dsb3 作者: EliasVansteenkiste 项目源码文件源码阅读 28 收藏 0 点赞 0 评论 0

def build_objective(model, deterministic=False, epsilon=1e-12):
    p = nn.layers.get_output(model.l_out, deterministic=deterministic)
    targets = T.flatten(nn.layers.get_output(model.l_target))
    p = T.clip(p, epsilon, 1.-epsilon)
    bce = T.nnet.binary_crossentropy(p, targets)
    return T.mean(bce)

dsb_a_eliasq1_mal2_s5_p8a1.py 文件源码项目：dsb3 作者: EliasVansteenkiste 项目源码文件源码阅读 20 收藏 0 点赞 0 评论 0

def build_objective(model, deterministic=False, epsilon=1e-12):
    p = nn.layers.get_output(model.l_out, deterministic=deterministic)
    targets = T.flatten(nn.layers.get_output(model.l_target))
    p = T.clip(p, epsilon, 1.-epsilon)
    bce = T.nnet.binary_crossentropy(p, targets)
    return T.mean(bce)

dsb_a_eliasx27_relias10_s5_p8a1.py 文件源码项目：dsb3 作者: EliasVansteenkiste 项目源码文件源码阅读 23 收藏 0 点赞 0 评论 0

def build_objective(model, deterministic=False, epsilon=1e-12):
    p = nn.layers.get_output(model.l_out, deterministic=deterministic)
    targets = T.flatten(nn.layers.get_output(model.l_target))
    p = T.clip(p, epsilon, 1.-epsilon)
    bce = T.nnet.binary_crossentropy(p, targets)
    return T.mean(bce)

dsb_a_eliasv16_c3_s2_p8a1.py 文件源码项目：dsb3 作者: EliasVansteenkiste 项目源码文件源码阅读 27 收藏 0 点赞 0 评论 0

def build_objective(model, deterministic=False, epsilon=1e-12):
    p = nn.layers.get_output(model.l_out, deterministic=deterministic)
    targets = T.flatten(nn.layers.get_output(model.l_target))
    p = T.clip(p, epsilon, 1.-epsilon)
    bce = T.nnet.binary_crossentropy(p, targets)
    return T.mean(bce)

dsb_a_eliasx28_relias10_s5_p8a1.py 文件源码项目：dsb3 作者: EliasVansteenkiste 项目源码文件源码阅读 24 收藏 0 点赞 0 评论 0

def build_objective(model, deterministic=False, epsilon=1e-12):
    p = nn.layers.get_output(model.l_out, deterministic=deterministic)
    targets = T.flatten(nn.layers.get_output(model.l_target))
    p = T.clip(p, epsilon, 1.-epsilon)
    bce = T.nnet.binary_crossentropy(p, targets)
    return T.mean(bce)

dsb_a_eliasx24_relias10_s5_p8a1.py 文件源码项目：dsb3 作者: EliasVansteenkiste 项目源码文件源码阅读 24 收藏 0 点赞 0 评论 0

def build_objective(model, deterministic=False, epsilon=1e-12):
    p = nn.layers.get_output(model.l_out, deterministic=deterministic)
    targets = T.flatten(nn.layers.get_output(model.l_target))
    p = T.clip(p, epsilon, 1.-epsilon)
    bce = T.nnet.binary_crossentropy(p, targets)
    return T.mean(bce)

dsb_a_eliasx36_relias18_s5_p8a1.py 文件源码项目：dsb3 作者: EliasVansteenkiste 项目源码文件源码阅读 20 收藏 0 点赞 0 评论 0

def build_objective(model, deterministic=False, epsilon=1e-12):
    p = nn.layers.get_output(model.l_out, deterministic=deterministic)
    targets = T.flatten(nn.layers.get_output(model.l_target))
    p = T.clip(p, epsilon, 1.-epsilon)
    bce = T.nnet.binary_crossentropy(p, targets)
    return T.mean(bce)

dsb_a_eliasx35_relias18_s5_p8a1.py 文件源码项目：dsb3 作者: EliasVansteenkiste 项目源码文件源码阅读 28 收藏 0 点赞 0 评论 0

def build_objective(model, deterministic=False, epsilon=1e-12):
    p = nn.layers.get_output(model.l_out, deterministic=deterministic)
    targets = T.flatten(nn.layers.get_output(model.l_target))
    p = T.clip(p, epsilon, 1.-epsilon)
    bce = T.nnet.binary_crossentropy(p, targets)
    return T.mean(bce)

dsb_a5_c3_s2_p8a1_ls_elias_v3.py 文件源码项目：dsb3 作者: EliasVansteenkiste 项目源码文件源码阅读 25 收藏 0 点赞 0 评论 0

def build_objective(model, deterministic=False, epsilon=1e-12):
    p = nn.layers.get_output(model.l_out, deterministic=deterministic)
    targets = T.flatten(nn.layers.get_output(model.l_target))
    p = T.clip(p, epsilon, 1.-epsilon)
    bce = T.nnet.binary_crossentropy(p, targets)
    return T.mean(bce)

dsb_a_eliasq5_mal2_s5_p8a1_spl.py 文件源码项目：dsb3 作者: EliasVansteenkiste 项目源码文件源码阅读 25 收藏 0 点赞 0 评论 0

def build_objective(model, deterministic=False, epsilon=1e-12):
    p = nn.layers.get_output(model.l_out, deterministic=deterministic)
    targets = T.flatten(nn.layers.get_output(model.l_target))
    p = T.clip(p, epsilon, 1.-epsilon)
    bce = T.nnet.binary_crossentropy(p, targets)
    return T.mean(bce)

dsb_a_eliasv15_c3_s2_p8a1.py 文件源码项目：dsb3 作者: EliasVansteenkiste 项目源码文件源码阅读 23 收藏 0 点赞 0 评论 0

def build_objective(model, deterministic=False, epsilon=1e-12):
    p = nn.layers.get_output(model.l_out, deterministic=deterministic)
    targets = T.flatten(nn.layers.get_output(model.l_target))
    p = T.clip(p, epsilon, 1.-epsilon)
    bce = T.nnet.binary_crossentropy(p, targets)
    return T.mean(bce)

dsb_a_eliasv6_c3_s2_p8a1.py 文件源码项目：dsb3 作者: EliasVansteenkiste 项目源码文件源码阅读 27 收藏 0 点赞 0 评论 0

def build_objective(model, deterministic=False, epsilon=1e-12):
    p = nn.layers.get_output(model.l_out, deterministic=deterministic)
    targets = T.flatten(nn.layers.get_output(model.l_target))
    p = T.clip(p, epsilon, 1.-epsilon)
    bce = T.nnet.binary_crossentropy(p, targets)
    return T.mean(bce)

dsb_a_eliasx38_relias18_s5_p8a1.py 文件源码项目：dsb3 作者: EliasVansteenkiste 项目源码文件源码阅读 23 收藏 0 点赞 0 评论 0

def build_objective(model, deterministic=False, epsilon=1e-12):
    p = nn.layers.get_output(model.l_out, deterministic=deterministic)
    targets = T.flatten(nn.layers.get_output(model.l_target))
    p = T.clip(p, epsilon, 1.-epsilon)
    bce = T.nnet.binary_crossentropy(p, targets)
    return T.mean(bce)

dsb_a4_c3_s2_p8a1.py 文件源码项目：dsb3 作者: EliasVansteenkiste 项目源码文件源码阅读 20 收藏 0 点赞 0 评论 0

def build_objective(model, deterministic=False, epsilon=1e-12):
    predictions = nn.layers.get_output(model.l_out, deterministic=deterministic)
    targets = T.cast(T.flatten(nn.layers.get_output(model.l_target)), 'int32')
    p = predictions[T.arange(predictions.shape[0]), targets]
    p = T.clip(p, epsilon, 1.)
    loss = T.mean(T.log(p))
    return -loss

dsb_a_eliasq4_mal2_s5_p8a1_spl.py 文件源码项目：dsb3 作者: EliasVansteenkiste 项目源码文件源码阅读 20 收藏 0 点赞 0 评论 0

def build_objective(model, deterministic=False, epsilon=1e-12):
    p = nn.layers.get_output(model.l_out, deterministic=deterministic)
    targets = T.flatten(nn.layers.get_output(model.l_target))
    p = T.clip(p, epsilon, 1.-epsilon)
    bce = T.nnet.binary_crossentropy(p, targets)
    return T.mean(bce)

dsb_a_eliasx32_relias10_s5_p8a1.py 文件源码项目：dsb3 作者: EliasVansteenkiste 项目源码文件源码阅读 24 收藏 0 点赞 0 评论 0

def build_objective(model, deterministic=False, epsilon=1e-12):
    p = nn.layers.get_output(model.l_out, deterministic=deterministic)
    targets = T.flatten(nn.layers.get_output(model.l_target))
    p = T.clip(p, epsilon, 1.-epsilon)
    bce = T.nnet.binary_crossentropy(p, targets)
    return T.mean(bce)

dsb_a_eliasx7_c3_s2_p8a1.py 文件源码项目：dsb3 作者: EliasVansteenkiste 项目源码文件源码阅读 18 收藏 0 点赞 0 评论 0

def build_objective(model, deterministic=False, epsilon=1e-12):
    p = nn.layers.get_output(model.l_out, deterministic=deterministic)
    targets = T.flatten(nn.layers.get_output(model.l_target))
    p = T.clip(p, epsilon, 1.-epsilon)
    bce = T.nnet.binary_crossentropy(p, targets)
    return T.mean(bce)

dsb_a_eliasq3_mal2_s5_p8a1.py 文件源码项目：dsb3 作者: EliasVansteenkiste 项目源码文件源码阅读 20 收藏 0 点赞 0 评论 0

def build_objective(model, deterministic=False, epsilon=1e-12):
    p = nn.layers.get_output(model.l_out, deterministic=deterministic)
    targets = T.flatten(nn.layers.get_output(model.l_target))
    p = T.clip(p, epsilon, 1.-epsilon)
    bce = T.nnet.binary_crossentropy(p, targets)
    return T.mean(bce)

dsb_a_eliasq15_mal7_s5_p8a1_all.py 文件源码项目：dsb3 作者: EliasVansteenkiste 项目源码文件源码阅读 20 收藏 0 点赞 0 评论 0

def build_objective(model, deterministic=False, epsilon=1e-12):
    p = nn.layers.get_output(model.l_out, deterministic=deterministic)
    targets = T.flatten(nn.layers.get_output(model.l_target))
    p = T.clip(p, epsilon, 1.-epsilon)
    bce = T.nnet.binary_crossentropy(p, targets)
    return T.mean(bce)

dsb_a_eliasx3_c3_s2_p8a1.py 文件源码项目：dsb3 作者: EliasVansteenkiste 项目源码文件源码阅读 22 收藏 0 点赞 0 评论 0

def build_objective(model, deterministic=False, epsilon=1e-12):
    p = nn.layers.get_output(model.l_out, deterministic=deterministic)
    targets = T.flatten(nn.layers.get_output(model.l_target))
    p = T.clip(p, epsilon, 1.-epsilon)
    bce = T.nnet.binary_crossentropy(p, targets)
    return T.mean(bce)