caffe

Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by the Berkeley Vision and Learning Center (BVLC) and by community contributors.

Name

caffe

Programs

• caffe
• classification
• compute_image_mean
• convert_cifar_data
• convert_imageset
• convert_mnist_data
• convert_mnist_siamese_data
• device_query
• extract_features
• finetune_net
• net_speed_benchmark
• test_net
• train_net
• upgrade_net_proto_binary
• upgrade_net_proto_text
• upgrade_solver_proto_text

Homepage

• http://caffe.berkeleyvision.org/

Version

1.0

License

• BSD 2-clause "Simplified" License

Platforms

• aarch64-linux
• armv5tel-linux
• armv6l-linux
• armv7a-linux
• armv7l-linux
• i686-linux
• loongarch64-linux
• m68k-linux
• microblaze-linux
• microblazeel-linux
• mips-linux
• mips64-linux
• mips64el-linux
• mipsel-linux
• powerpc-linux
• powerpc64-linux
• powerpc64le-linux
• riscv32-linux
• riscv64-linux
• s390-linux
• s390x-linux
• x86_64-linux
• x86_64-darwin
• aarch64-darwin

Defined

Source