Skip to main content

TensorFlow helps the tensors flow

Project description

UNKNOWN

Release history Release notifications | RSS feed

This version

1.4.0

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

tensorflow-1.4.0-cp36-cp36m-win_amd64.whl (28.3 MB view details)

Uploaded CPython 3.6m Windows x86-64

tensorflow-1.4.0-cp36-cp36m-manylinux1_x86_64.whl (41.2 MB view details)

Uploaded CPython 3.6m

tensorflow-1.4.0-cp36-cp36m-macosx_10_11_x86_64.whl (39.3 MB view details)

Uploaded CPython 3.6m macOS 10.11+ x86-64

tensorflow-1.4.0-cp35-cp35m-win_amd64.whl (28.3 MB view details)

Uploaded CPython 3.5m Windows x86-64

tensorflow-1.4.0-cp35-cp35m-manylinux1_x86_64.whl (40.7 MB view details)

Uploaded CPython 3.5m

tensorflow-1.4.0-cp35-cp35m-macosx_10_11_x86_64.whl (38.8 MB view details)

Uploaded CPython 3.5m macOS 10.11+ x86-64

tensorflow-1.4.0-cp34-cp34m-manylinux1_x86_64.whl (40.7 MB view details)

Uploaded CPython 3.4m

tensorflow-1.4.0-cp34-cp34m-macosx_10_11_x86_64.whl (39.3 MB view details)

Uploaded CPython 3.4m macOS 10.11+ x86-64

tensorflow-1.4.0-cp33-cp33m-manylinux1_x86_64.whl (41.2 MB view details)

Uploaded CPython 3.3m

tensorflow-1.4.0-cp33-cp33m-macosx_10_11_x86_64.whl (39.3 MB view details)

Uploaded CPython 3.3m macOS 10.11+ x86-64

tensorflow-1.4.0-cp27-cp27mu-manylinux1_x86_64.whl (40.7 MB view details)

Uploaded CPython 2.7mu

tensorflow-1.4.0-cp27-cp27m-macosx_10_11_x86_64.whl (38.8 MB view details)

Uploaded CPython 2.7m macOS 10.11+ x86-64

File details

Details for the file tensorflow-1.4.0-cp36-cp36m-win_amd64.whl.

File metadata

File hashes

Hashes for tensorflow-1.4.0-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 1b1aa05701e75a2130e3f34ca51e5ac9ad105f40dd3f97970da7877601e3299f
MD5 7bdc1e94f1cb772ae5851018dc23a62e
BLAKE2b-256 767b2048b4ecd88395ac16ab938e8675ffeda2acb60bc34f5ef63500eafafaf5

See more details on using hashes here.

File details

Details for the file tensorflow-1.4.0-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow-1.4.0-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 972724621a25d136799959cd03ef77b0cca6e1799cd3448f05514bc519b735ad
MD5 518b64689653e180116fb5484060474e
BLAKE2b-256 869fbe0165c6eefd841e6928e54d3d083fa174f92d640fdc52f73a33dc9c54d1

See more details on using hashes here.

File details

Details for the file tensorflow-1.4.0-cp36-cp36m-macosx_10_11_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow-1.4.0-cp36-cp36m-macosx_10_11_x86_64.whl
Algorithm Hash digest
SHA256 ff08e3f2bf81d229d5d2c2ab9b812ebf8ac30cff2738988cee410606590da097
MD5 3a3045234575ee3bc77c7d2a70da39ea
BLAKE2b-256 a9724f573aa9d41e740e79594a0bd949288f2eb4286f453cf560799eaa29d024

See more details on using hashes here.

File details

Details for the file tensorflow-1.4.0-cp35-cp35m-win_amd64.whl.

File metadata

File hashes

Hashes for tensorflow-1.4.0-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 15e2f6ea16990811f0a109615898a19359b4af1564f3cf96103be7ab395b370e
MD5 45c700ed666bc36b8b2f2f7d79edce22
BLAKE2b-256 ad8bacaf89cdccbbbeac798edc45bd8ca92b1ff97b9c49a976c9cc0540b81b74

See more details on using hashes here.

File details

Details for the file tensorflow-1.4.0-cp35-cp35m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow-1.4.0-cp35-cp35m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 6cb941949f0dccb28d23eb19b2c1f1d9401c826c2788f46639bf2773c109468a
MD5 2e4b679853dfaf9e918a5965e9b129e8
BLAKE2b-256 a174e2cff4dc2cd2ee7d407bb929ce828eeeb1a43503deae83f8f71f11311970

See more details on using hashes here.

File details

Details for the file tensorflow-1.4.0-cp35-cp35m-macosx_10_11_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow-1.4.0-cp35-cp35m-macosx_10_11_x86_64.whl
Algorithm Hash digest
SHA256 298cdfc78b52cb4089a8cfc772802a6b83fa241df3e1812e27435bd4c72e9894
MD5 7ae9a6dc24a0469d91e38fcd2aa74024
BLAKE2b-256 17ce30ddea1fd61acf0d9c7ee46c4f62edfb44cb4037f064dae86dc385018c94

See more details on using hashes here.

File details

Details for the file tensorflow-1.4.0-cp34-cp34m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow-1.4.0-cp34-cp34m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 2c5a251a9653200a90dcc7a2b8f4d4e05230c8bf927b8956f9c55e6665edde9c
MD5 ae3b5d6f98dbf89641b5efbb1864ffe5
BLAKE2b-256 05f7ccf4f218f448c1194df0d52743691bcd835e0fb665a3b7876d929f5218d4

See more details on using hashes here.

File details

Details for the file tensorflow-1.4.0-cp34-cp34m-macosx_10_11_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow-1.4.0-cp34-cp34m-macosx_10_11_x86_64.whl
Algorithm Hash digest
SHA256 21e5c92e8620600fdcbf8d72b19390acacb3a702d791b03865985eacca65ea1f
MD5 631ae9aec3692d4211dbdbeada1afc4a
BLAKE2b-256 229353b0d45ced26f00218c925275cf73e4bd327f0736f76aab667a9cf14cae3

See more details on using hashes here.

File details

Details for the file tensorflow-1.4.0-cp33-cp33m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow-1.4.0-cp33-cp33m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 a55d0e9d403d07a049ce47f8d82bba0932b7c4666069d7b857f97c58cb4d3bea
MD5 a5c771b94b3b808a5cab66ce3da06e21
BLAKE2b-256 0c646cf0518fc2661f825453e1be9c56a319440bdb3281756a2dd5f582203486

See more details on using hashes here.

File details

Details for the file tensorflow-1.4.0-cp33-cp33m-macosx_10_11_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow-1.4.0-cp33-cp33m-macosx_10_11_x86_64.whl
Algorithm Hash digest
SHA256 23697ebd6d78c58c6311310b27643f470a81c1bb425f101be95b826fcd46cdfc
MD5 97c48bc6f289438f89dd9f8f0746bc19
BLAKE2b-256 155e3443dc258daa74080801ec63922fdff2c1655a497a3d3ebd35b36568eebc

See more details on using hashes here.

File details

Details for the file tensorflow-1.4.0-cp27-cp27mu-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow-1.4.0-cp27-cp27mu-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 ea9b30dbc6d56f65acf615598d9c417495cbcbdb8051aa6600c40bb6bc1ce664
MD5 6a1d8bcc8f5a70f1d3be4d7a3c835955
BLAKE2b-256 9972a420e22dc93416d30981e87a2318823ec09a9b18631369df0e7d9d164073

See more details on using hashes here.

File details

Details for the file tensorflow-1.4.0-cp27-cp27m-macosx_10_11_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow-1.4.0-cp27-cp27m-macosx_10_11_x86_64.whl
Algorithm Hash digest
SHA256 70ecb192f282d788cf4139eb855c5c44e77256a4245621fe20a07761f9171119
MD5 e61cbafe56ab7cfe672e34322a57e7f4
BLAKE2b-256 d61bc0cabf27871cd71c3b02c8e94ee74703f6a240eaf7a139b0f0fcef85aa1c

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page