"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

Conda packages are downloaded from remote channels, which are URLs to directories containing conda packages. The conda command searches a default set of channels, and packages are automatically downloaded You can modify what remote channels are automatically searched. You might want to do this to maintain a private or internal channel. For details, see Channel locations (channels). See also Managing packages Overview • General configuration – Channel locations (channels) – Allow other channels (allow_other_channels) – Default channels (default_channels) – Update conda automatically (auto_update_conda) –

Conda packages are downloaded from remote channels, which are URLs to directories containing conda packages. The conda command searches a default set of channels, and packages are automatically downloaded You can modify what remote channels are automatically searched. You might want to do this to maintain a private or internal channel. For details, see Channel locations (channels). See also Managing packages Overview • General configuration – Channel locations (channels) – Allow other channels (allow_other_channels) – Default channels (default_channels) – Update conda automatically (auto_update_conda) –

$ conda search "conda-forge/linux-64::numpy 1.17.* py38*" This returns the following: Loading channels: done # Name Version Build Channel numpy 1.17.3 py38h95a1406_0 conda-forge numpy 1.17.5 py38h18fd61f_1 py38h95a1406_0" 1.1.5 Conda channels • What is a "conda channel"? • Specifying channels when installing packages • Conda clone channel RSS feed What is a "conda channel"? Conda channels are the locations where packages. Conda packages are downloaded from remote channels, which are URLs to directories containing conda packages. The conda command searches a set of channels. By default, packages are automatically downloaded

$ conda search "conda-forge/linux-64::numpy 1.17.* py38*" This returns the following: Loading channels: done # Name Version Build Channel numpy 1.17.3 py38h95a1406_0 conda-forge numpy 1.17.5 py38h18fd61f_1 py38h95a1406_0" 1.1.5 Conda channels • What is a "conda channel"? • Specifying channels when installing packages • Conda clone channel RSS feed What is a "conda channel"? Conda channels are the locations where packages. Conda packages are downloaded from remote channels, which are URLs to directories containing conda packages. The conda command searches a set of channels. By default, packages are automatically downloaded

Specifying channels Channels are locations (on your own computer or elsewhere on the Internet) where packages are stored. By default, conda searches for packages in its default channels. If a package default channels in your .condarc file. For a direct example, see Channel locations (channels) or read the entire Using the .condarc conda configuration file. � Tip Find more packages and channels by searching configuration could look like: 20 Chapter 4. Contributors welcome conda, Release 25.1.2.dev1 channels: - defaults pkg_dirs: - /shared/conda/pkgs - $HOME/.conda/pkgs envs_dirs: - /shared/conda/envs

Specifying channels Channels are locations (on your own computer or elsewhere on the Internet) where packages are stored. By default, conda searches for packages in its default channels. If a package default channels in your .condarc file. For a direct example, see Channel locations (channels) or read the entire Using the .condarc conda configuration file. � Tip Find more packages and channels by searching configuration could look like: 20 Chapter 4. Contributors welcome conda, Release 24.11.3.dev2 channels: - defaults pkg_dirs: - /shared/conda/pkgs - $HOME/.conda/pkgs envs_dirs: - /shared/conda/envs

Specifying channels Channels are locations (on your own computer or elsewhere on the Internet) where packages are stored. By default, conda searches for packages in its default channels. If a package default channels in your .condarc file. For a direct example, see Channel locations (channels) or read the entire Using the .condarc conda configuration file. � Tip Find more packages and channels by searching configuration could look like: 20 Chapter 4. Contributors welcome conda, Release 24.9.3.dev1 channels: - defaults pkg_dirs: - /shared/conda/pkgs - $HOME/.conda/pkgs envs_dirs: - /shared/conda/envs

Specifying channels Channels are locations (on your own computer or elsewhere on the Internet) where packages are stored. By default, conda searches for packages in its default channels. If a package default channels in your .condarc file. For a direct example, see Channel locations (channels) or read the entire Using the .condarc conda configuration file. � Tip Find more packages and channels by searching locations is pre-seeded to all users in a large organization. A sample configuration could look like: channels: - defaults pkg_dirs: - /shared/conda/pkgs - $HOME/.conda/pkgs envs_dirs: - /shared/conda/envs

Specifying channels Channels are locations (on your own computer or elsewhere on the Internet) where packages are stored. By default, conda searches for packages in its default channels. If a package default channels in your .condarc file. For a direct example, see Channel locations (channels) or read the entire Using the .condarc conda configuration file. Tip: Find more packages and channels by searching locations is pre-seeded to all users in a large organization. A sample configuration could look like: channels: - defaults pkg_dirs: - /shared/conda/pkgs - $HOME/.conda/pkgs envs_dirs: - /shared/conda/envs