Searched refs:learning (Results 1 – 25 of 81) sorted by relevance
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| /third_party/boost/libs/spirit/doc/x3/tutorial/ |
| D | tutorial_intro.qbk | 24 steep learning curve." Not so. Spirit is designed to be fully scalable. The
25 library is structured in layers. This permits learning on an as-needed basis,
26 after only learning the minimal core and basic concepts.
36 techniques. We will try to be as gentle as possible with the learning curve.
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| /third_party/boost/libs/spirit/doc/qi/ |
| D | tutorial_intro.qbk | 24 steep learning curve." Not so. Spirit is designed to be fully scalable. The
25 library is structured in layers. This permits learning on an as-needed basis,
26 after only learning the minimal core and basic concepts.
36 techniques. We will try to be as gentle as possible with the learning curve.
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| /third_party/mindspore/mindspore/ccsrc/minddata/dataset/core/ |
| D | example.proto | 17 // Protocol messages for describing input data Examples for machine learning
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| /third_party/grpc/src/proto/grpc/testing/xds/v3/ |
| D | lrs.proto | 40 // LoadStatsResponse for all clusters it is interested in learning load
72 // is interested in learning load stats about.
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| /third_party/skia/third_party/externals/microhttpd/doc/chapters/ |
| D | bibliography.inc | 24 For those readers understanding German or French, there is an excellent document both for learning
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| /third_party/mindspore/mindspore/nn/probability/ |
| D | README.md | 5 …yesian deep learning. MDP is cooperatively developed with [ZhuSuan](https://zhusuan.readthedocs.io…
7 …learning with Bayesian learning. On the one hand, similar to other Deep Probabilistic Programming …
14 ## Layer 1: Probabilistic Programming (PP) focuses on professional Bayesian learning
438 …Probabilistic Programming (MDP), and it is suitable for mainstream deep learning models, such as r…
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| /third_party/mindspore/mindspore/lite/examples/transfer_learning/ |
| D | README.md | 16 This folder holds an example code for on-Device Transfer learning. Part of the code runs on a serve…
20 In this example of transfer learning we are using a fixed backbone that holds a pretrained [efficie…
77 - Prepare the trainable transfer learning model in a `.ms` format
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| /third_party/skia/third_party/externals/harfbuzz/ |
| D | BUILD.md | 23 Our CI configurations is also a good source of learning how to build HarfBuzz.
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| /third_party/harfbuzz/ |
| D | BUILD.md | 23 Our CI configurations is also a good source of learning how to build HarfBuzz.
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| /third_party/mindspore/third_party/proto/caffe/ |
| D | caffe.proto | 79 // automatically according to the net structure and learning rates.
147 optional float base_lr = 5; // The base learning rate
157 // The learning rate decay policy. The currently implemented learning rate
165 // - poly: the effective learning rate follows a polynomial decay, to be
167 // - sigmoid: the effective learning rate follows a sigmod decay
173 optional float gamma = 9; // The parameter to compute the learning rate.
174 optional float power = 10; // The parameter to compute the learning rate.
180 // the stepsize for learning rate policy "step"
182 // the stepsize for learning rate policy "multistep"
225 // debugging learning problems.
[all …]
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| /third_party/boost/libs/bimap/doc/ |
| D | test_suite.qbk | 18 Although the tests are not meant to serve as a learning guide, the interested reader may find it
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| /third_party/boost/libs/asio/doc/overview/ |
| D | rationale.qbk | 42 try to minimise the up-front investment in time to just learning a few basic
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| /third_party/grpc/src/proto/grpc/testing/xds/ |
| D | lrs_for_test.proto | 133 // LoadStatsResponse for all clusters it is interested in learning load
165 // is interested in learning load stats about.
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| /third_party/mindspore/mindspore/ccsrc/debug/debugger/ |
| D | debug_graph.proto | 212 // commonly called a "layer" or "pipeline stage" in machine learning frameworks.
282 // This is the equivalent of the "network" or "graph" in many deep learning
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| /third_party/libnl/lib/route/link/ |
| D | bridge.c | 849 __ADD(RTNL_BRIDGE_LEARNING, learning),
873 __ADD(BR_STATE_LEARNING, learning),
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| /third_party/mindspore/mindspore/ccsrc/utils/ |
| D | anf_ir.proto | 211 // commonly called a "layer" or "pipeline stage" in machine learning frameworks.
280 // This is the equivalent of the "network" or "graph" in many deep learning
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| /third_party/python/Doc/library/ |
| D | intro.rst | 42 learning about random subjects, you choose a random page number (see module
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| /third_party/flutter/flutter/dev/snippets/ |
| D | README.md | 4 context or a good starting point when learning to use any of Flutter's APIs.
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| /third_party/icu/docs/userguide/ |
| D | index.md | 62 organizational learning, process-driven synchronization, event-driven evaluation
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| /third_party/googletest/docs/ |
| D | quickstart-cmake.md | 153 * [Check out the Primer](primer.md) to start learning how to write simple
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| D | quickstart-bazel.md | 158 * [Check out the Primer](primer.md) to start learning how to write simple
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| /third_party/python/Doc/tutorial/ |
| D | appetite.rst | 39 can use as the basis of your programs --- or as examples to start learning to
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| /third_party/python/Doc/faq/ |
| D | general.rst | 30 introductory tutorials and resources for learning Python.
380 served by learning Python as their first language. Python has a very simple and
392 encapsulate data. While learning to use a statically typed language is
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| /third_party/mindspore/ |
| D | README.md | 37 MindSpore is a new open source deep learning training/inference framework that
51 There are currently three automatic differentiation techniques in mainstream deep learning framewor…
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| /third_party/flutter/skia/third_party/externals/wuffs/doc/ |
| D | related-work.md | 164 time on learning them." In the [words of one
168 of Rust's learning curve. Not to mention ATS is syntactically... challenging".
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