Searched refs:MobileNet (Results 1 – 23 of 23) sorted by relevance
| /external/XNNPACK/ |
| D | README.md | 57 …ingle-threaded** performance of XNNPACK library on three generations of MobileNet models and three…
61 | MobileNet v1 1.0X | 82 | 86 | 88 |
62 | MobileNet v2 1.0X | 49 | 53 | 55 |
63 | MobileNet v3 Large | 39 | 42 | 44 |
64 | MobileNet v3 Small | 12 | 14 | 14 |
66 …e are big cores) performance of XNNPACK library on three generations of MobileNet models and three…
70 | MobileNet v1 1.0X | 43 | 27 | 46 |
71 | MobileNet v2 1.0X | 26 | 18 | 28 |
72 | MobileNet v3 Large | 22 | 16 | 24 |
73 | MobileNet v3 Small | 7 | 6 | 8 |
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| /external/tensorflow/tensorflow/tools/api/golden/v2/ |
| D | tensorflow.keras.applications.mobilenet.pbtxt | 4 name: "MobileNet"
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| D | tensorflow.keras.applications.pbtxt | 116 name: "MobileNet"
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| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| D | tensorflow.keras.applications.mobilenet.pbtxt | 4 name: "MobileNet"
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| D | tensorflow.keras.applications.pbtxt | 116 name: "MobileNet"
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| /external/tensorflow/tensorflow/lite/g3doc/performance/ |
| D | nnapi.md | 147 * [MobileNet v1 (224x224) image classification (float model download)](https://ai.googleblog.com/…
152 * [MobileNet v2 SSD object detection](https://ai.googleblog.com/2018/07/accelerated-training-and-…
157 * [MobileNet v1(300x300) Single Shot Detector (SSD) object detection](https://ai.googleblog.com/2…
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| D | gpu.md | 329 * [MobileNet v1 (224x224) image classification](https://ai.googleblog.com/2017/06/mobilenets-open…
333 * [MobileNet SSD object detection](https://ai.googleblog.com/2018/07/accelerated-training-and-inf…
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| /external/tensorflow/tensorflow/lite/examples/python/ |
| D | README.md | 16 You can use any compatible model, but the following MobileNet v1 model offers a
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| /external/tensorflow/tensorflow/python/keras/applications/ |
| D | applications_load_weight_test.py | 53 'mobilenet': (mobilenet, [mobilenet.MobileNet]),
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| D | applications_test.py | 52 (mobilenet.MobileNet, 1024),
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| D | mobilenet.py | 85 def MobileNet(input_shape=None, function
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| /external/tensorflow/tensorflow/lite/g3doc/models/image_classification/ |
| D | overview.md | 147 are all trained on the original dataset. Model architectures like MobileNet,
211 The TensorFlow Lite quantized MobileNet models' performance range from 3.7ms to
266 The TensorFlow Lite quantized MobileNet models’ Top-5 accuracy range from 64.4
275 The TensorFlow Lite quantized MobileNet models' sizes range from 0.5 to 3.4 MB.
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| /external/tensorflow/tensorflow/lite/g3doc/guide/ |
| D | index.md | 34 InceptionV3 and MobileNet.
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| D | ops_select.md | 232 MobileNet on a Pixel 2. The listed times are an average of 100 runs. These
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| D | get_started.md | 179 The speed-up can be substantial. For example, a MobileNet v1 image
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| /external/tensorflow/tensorflow/lite/examples/label_image/ |
| D | README.md | 46 You can use any compatible model, but the following MobileNet v1 model offers
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| /external/tensorflow/tensorflow/lite/tools/evaluation/tasks/coco_object_detection/ |
| D | README.md | 45 [SSD MobileNet model](https://www.tensorflow.org/lite/models/object_detection/overview#output.):
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| /external/tensorflow/tensorflow/lite/g3doc/inference_with_metadata/ |
| D | lite_support.md | 121 remember to convert the result. For the MobileNet quantized model, the developer
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| /external/tensorflow/tensorflow/lite/micro/examples/person_detection/ |
| D | training_a_model.md | 149 MobileNet. We did experiment with later versions, but these used more RAM
446 MobileNet v1 is a stack of 14 of these depthwise separable convolution layers
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| /external/tensorflow/tensorflow/lite/tools/benchmark/ |
| D | README.md | 214 The MobileNet graph used as an example here may be downloaded from [here](https://storage.googleapi…
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| /external/tensorflow/tensorflow/lite/g3doc/r1/convert/ |
| D | cmdline_examples.md | 42 echo "Download MobileNet V1"
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| /external/tensorflow/tensorflow/lite/g3doc/models/object_detection/ |
| D | overview.md | 295 …v/tensorflow/lite-model/ssd_mobilenet_v1/1/metadata/1?lite-format=tflite">COCO SSD MobileNet v1</a>
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| /external/tensorflow/tensorflow/lite/g3doc/convert/ |
| D | metadata.md | 112 : MobileNet for float and : - mean\: 127.5 \ : - zeroPoint\: 128.0 \ :
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