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  • pdf文档 Keras: 基于 Python 的深度学习库

    "image_data_format": "channels_last", "epsilon": 1e-07, "floatx": "float32", "backend": "tensorflow" } 它包含以下字段: • 图 像 处 理 层 和 实 用 程 序 所 使 用 的 默 认 值 图 像 数 据 格 式 (channel_last 或 channels_first)。 • 用于防止在某些操作中被零除的 input_shape 参数(整数元组,不包含 样本表示的轴) ,例如,input_shape=(128, 128, 3) 表示 128x128 RGB 图像,在 data_format="channels_last" 时。 参数 • filters: 整数,输出空间的维度(即卷积中滤波器的输出数量)。 • kernel_size: 一个整数,或者 2 个整数表示的元组或列表,指明 2D 卷积窗口的宽度和高度。 (大小写敏感)。 • data_format: 字符串,channels_last (默认) 或 channels_first 之一,表示输入中 维度的顺序。channels_last 对应输入尺寸为 (batch, height, width, channels), channels_first 对应输入尺寸为 (batch, channels, height, width)。它默认为从 Keras
    0 码力 | 257 页 | 1.19 MB | 1 年前
    3
  • pdf文档 《Efficient Deep Learning Book》[EDL] Chapter 7 - Automation

    that can manipulate the structure of a network. The number of dense units, number of convolution channels or the size of convolution kernels can sometimes be 4 Jaderberg, Max, et al. "Population based rolling_accuracies_window=20, max_branch_length=2, blocks=5, cells=2, initial_width=1, initial_channels=4 ) STATE_SPACE = [ dict(name='hidden_state', values=list(range(2)), count=2), dict( name=primitives """ def __init__(self, stride=1, channels=64): self.channels = channels self.stride = stride self.kwargs = dict(strides=(1, 1), padding='same') def repair_channels(self, inp): """ This method sends
    0 码力 | 33 页 | 2.48 MB | 1 年前
    3
  • pdf文档 keras tutorial

    home directory inside and go to .keras/keras.json. keras.json { "image_data_format": "channels_last", "epsilon": 1e-07, "floatx": "float32", "backend": "tensorflow" } Here, = theano in keras.json file. It is described below: keras.json { "image_data_format": "channels_last", "epsilon": 1e-07, "floatx": "float32", "backend": "theano" } Now save your specified below: >>> k.backend() 'tensorflow' >>> k.epsilon() 1e-07 >>> k.image_data_format() 'channels_last' >>> k.floatx() 'float32' Let us understand some of the significant backend functions
    0 码力 | 98 页 | 1.57 MB | 1 年前
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  • pdf文档 OpenShift Container Platform 4.14 更新集群

    表,其中包含组件 Operator 的顶点和连 接它们的边。 Channels Channels 声明了一个与 OpenShift Container Platform 次版本相关的更新策略。OSUS 使用这个配置 OpenShift Container Platform 4.14 更新集群 更新集群 6 Channels 声明了一个与 OpenShift Container Platform Upstream is unset, so the cluster will use an appropriate default. Channel: fast-4.11 (available channels: candidate-4.10, candidate-4.11, eus-4.10, fast-4.10, fast-4.11, stable-4.10) Recommended updates: OpenShift Container Platform 4.14 更新集群 更新集群 8 输出示例 出示例 类似的命令可用于检查条件更新: 输出示例 出示例 [ { "channels": [ "candidate-4.11", "candidate-4.12", "fast-4.11", "fast-4.12" ],
    0 码力 | 149 页 | 1.94 MB | 1 年前
    3
  • pdf文档 动手学深度学习 v2.0

    该函数有三个参数,分别对应于卷积层的数量num_convs、输入通道的数量in_channels 和输出通道的数 量out_channels. import torch from torch import nn from d2l import torch as d2l def vgg_block(num_convs, in_channels, out_channels): (continues on next page) in range(num_convs): layers.append(nn.Conv2d(in_channels, out_channels, kernel_size=3, padding=1)) layers.append(nn.ReLU()) in_channels = out_channels layers.append(nn.MaxPool2d(kernel_size=2,stride=2)) conv_blks = [] in_channels = 1 # 卷积层部分 for (num_convs, out_channels) in conv_arch: conv_blks.append(vgg_block(num_convs, in_channels, out_channels)) in_channels = out_channels return nn.Sequential(
    0 码力 | 797 页 | 29.45 MB | 1 年前
    3
  • pdf文档 Elasticity and state migration: Part I - CS 591 K1: Data Stream Processing and Analytics Spring 2020

    spawn new processes or release unused resources, safely terminate processes • Adjust dataflow channels and network connections • Re-partition and migrate state in a consistent manner • Block and temporarily block the affected dataflow subgraph • usually the operator to be scaled and upstream channels • All-at-once • move state to be migrated in one operation • high latency during migration single task • Each stateful task is responsible for processing and state management 31 block channels and upstream operators ??? Vasiliki Kalavri | Boston University 2020 Pause-and-restart state
    0 码力 | 93 页 | 2.42 MB | 1 年前
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  • epub文档 BAETYL 1.0.0 Documentation

    module, is responsible for communicating with the BIE Cloud Management Suite. It has MQTT and HTTPS channels. MQTT enforces two-way authentication for SSL/TLS certificates. HTTPS enforces one-way authentication For IP camera, the configuration just like `rtsp://: @:/Streaming/channels//` # `` and `` are the login authentication element crops image from center, subtract mean values, scales values by scalefactor, swap Blue and Red channels. More detailed contents please refer to https://docs.opencv.org/4.1.1/d6/d0f/group__dnn.html#ga29f34df9376379a6
    0 码力 | 135 页 | 15.44 MB | 1 年前
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  • pdf文档 BAETYL 1.0.0 Documentation

    module, is responsible for communicating with the BIE Cloud Management Suite. It has MQTT and HTTPS channels. MQTT enforces two-way authentication for SSL/TLS cer- tificates. HTTPS enforces one-way authentication For IP camera, the configuration just like `rtsp://:@: ˓→/Streaming/channels//` # `` and `` are the login authentication element (continues crops image ˓→from center, subtract mean values, scales values by scalefactor, swap Blue and Red ˓→channels. More detailed contents please refer to https://docs.opencv.org/4.1.1/d6/ ˓→d0f/group__dnn.htm
    0 码力 | 145 页 | 9.31 MB | 1 年前
    3
  • pdf文档 Fault-tolerance demo & reconfiguration - CS 591 K1: Data Stream Processing and Analytics Spring 2020

    spawn new processes or release unused resources, safely terminate processes • Adjust dataflow channels and network connections • Re-partition and migrate state in a consistent manner • Block and spawn new processes or release unused resources, safely terminate processes • Adjust dataflow channels and network connections • Re-partition and migrate state in a consistent manner • Block and spawn new processes or release unused resources, safely terminate processes • Adjust dataflow channels and network connections • Re-partition and migrate state in a consistent manner • Block and
    0 码力 | 41 页 | 4.09 MB | 1 年前
    3
  • pdf文档 Exactly-once fault-tolerance in Apache Flink - CS 591 K1: Data Stream Processing and Analytics Spring 2020

    Kalavri | Boston University 2020 System model: • No failures during snapshotting • FIFO reliable channels: no lost or duplicate messages • Strongly connected execution graph: each process can reach The initiator process: 1. Records its own state. 2. Sends a marker out on each of its outgoing channels. a. The marker is a special message that is not recorded in the snapshot but enforces the causal consistency. 3. Starts recording all data (application) messages it receives on all of its incoming channels. 20 ??? Vasiliki Kalavri | Boston University 2020 On receiving a marker (I) A process receiving
    0 码力 | 81 页 | 13.18 MB | 1 年前
    3
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