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__init__.py |
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__init__.py |
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__init__.py |
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__init__.py |
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__init__.py |
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.babelrc |
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.gitignore |
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.gitignore |
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.gitignore |
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.gitignore |
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.gitignore |
451б |
.gitignore |
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activity_camera.xml |
953б |
AndroidManifest.xml |
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AppDelegate.swift |
2.13Кб |
Array.swift |
1.95Кб |
AutoFitTextureView.java |
2.47Кб |
base-colors.xml |
658б |
base-strings.xml |
1.01Кб |
base-template-styles.xml |
768б |
bed_pic_by_benjamin_planche.png |
104.52Кб |
bird_pic_by_benjamin_planche.png |
405.89Кб |
book_cover.png |
119.39Кб |
BorderedText.java |
3.70Кб |
bridge_by_benjamin_planche.png |
70.91Кб |
BUILD |
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BUILD |
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build.gradle |
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build.gradle |
515б |
butterfly_pic_by_benjamin_planche.png |
129.56Кб |
Camera2BasicFragment.java |
36.61Кб |
CameraActivity.java |
1.18Кб |
castle_pic_by_benjamin_planche.png |
100.84Кб |
cat.jpg |
40.08Кб |
ch1_nb1_build_and_train_neural_network_from_scratch.ipynb |
58.46Кб |
ch2_nb1_mnist_keras.ipynb |
13.79Кб |
ch3_nb1_discover_cnns_basic_ops.ipynb |
441.78Кб |
ch3_nb2_build_and_train_first_cnn_with_tf2.ipynb |
30.71Кб |
ch3_nb3_experiment_with_optimizers.ipynb |
90.81Кб |
ch3_nb4_apply_regularization_methods_to_cnns.ipynb |
132.70Кб |
ch4_nb1_implement_resnet_from_scratch.ipynb |
716.96Кб |
ch4_nb2_reuse_models_from_keras_apps.ipynb |
668.18Кб |
ch4_nb3_fetch_models_from_tf_hub.ipynb |
1.10Мб |
ch4_nb4_apply_transfer_learning.ipynb |
744.10Кб |
ch4_nb5_explore_imagenet_and_its_tiny_version.ipynb |
60.14Кб |
ch5_nb1_yolo_inference.ipynb |
8.41Кб |
ch6_nb1_discover_autoencoders.ipynb |
379.95Кб |
ch6_nb2_denoise_with_autoencoders.ipynb |
272.54Кб |
ch6_nb3_improve_image_quality_with_dae.ipynb |
1.44Мб |
ch6_nb4_preparing_data_for_smart_car_apps.ipynb |
1.44Мб |
ch6 nb5 build and train a fcn8s semantic segmentation model for smart cars ipynb |
2.85Мб |
ch6 nb6 build and train a unet for urban object and instance segmentation ipynb |
2.62Мб |
ch7_nb1_set_up_efficient_input_pipelines_with_tf_data.ipynb |
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ch7_nb2_generate_and_parse_tfrecords.ipynb |
132.64Кб |
ch7_nb3_render_images_from_3d_models.ipynb |
353.22Кб |
ch7_nb4_train_segmentation_model_on_synthetic_images.ipynb |
2.27Мб |
ch7_nb5_train_a_simple_domain_adversarial_network_(dann).ipynb |
318.43Кб |
ch7_nb6_apply_dann_to_train_segmentation_model_on_synthetic_data.ipynb |
847.66Кб |
ch7_nb7_generate_images_with_vae_models.ipynb |
546.07Кб |
ch7_nb8_generate_images_with_gan_models.ipynb |
545.89Кб |
ch8_nb1_action_recognition.ipynb |
25.88Кб |
ch9_nb1_profiling.ipynb |
7.18Кб |
ch9_nb2_nms_speed_comparison.ipynb |
38.89Кб |
ch9_nb3_train_model.ipynb |
70.78Кб |
cifar_utils.py |
4.92Кб |
cityscapes_utils.py |
14.44Кб |
cityscapes_utils.py |
14.44Кб |
classification_utils.py |
3.99Кб |
cloud_pic_by_benjamin_planche.png |
99.29Кб |
coco.names |
625б |
colors.xml |
860б |
Contents.json |
1.55Кб |
Contents.json |
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contents.xcworkspacedata |
157б |
contents.xcworkspacedata |
230б |
convert.py |
759б |
CoreMLHelpers.h |
533б |
crab_by_benjamin_planche.png |
129.98Кб |
CVPixelBuffer+Helpers.swift |
5.01Кб |
dog_example.jpg |
159.92Кб |
fcn.png |
190.71Кб |
fcn.py |
3.47Кб |
fcn.py |
3.67Кб |
forrest_pic_by_benjamin_planche.png |
136.02Кб |
fragment_camera2_basic.xml |
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fragment_camera2_basic.xml |
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fragment_camera2_basic.xml |
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fully_connected_layer.py |
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GpuDelegateHelper.java |
1.53Кб |
gradle.properties |
730б |
gradlew |
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gradlew.bat |
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gradle-wrapper.jar |
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gradle-wrapper.properties |
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group1-shard1of4 |
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group1-shard1of4.bin |
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group1-shard2of4 |
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group1-shard2of4.bin |
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group1-shard3of4 |
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group1-shard3of4.bin |
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group1-shard4of4 |
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group1-shard4of4.bin |
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header.jpg |
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ic_action_info.png |
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ic_action_info.png |
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ic_action_info.png |
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ic_action_info.png |
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ic_launcher.png |
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ic_launcher.png |
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ic_launcher.png |
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ic_launcher.png |
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IDEWorkspaceChecks.plist |
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IDEWorkspaceChecks.plist |
238б |
ImageClassifier.java |
11.25Кб |
ImageClassifierFloatInception.java |
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ImageClassifierFloatMobileNet.java |
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ImageClassifierQuantizedMobileNet.java |
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index.html |
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index.js |
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Info.plist |
859б |
Info.plist |
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item_selector.xml |
411б |
keras_custom_callbacks.py |
2.83Кб |
keras_custom_callbacks.py |
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keras_custom_callbacks.py |
8.36Кб |
labels_emotion.txt |
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LaunchScreen.storyboard |
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listview_row.xml |
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logo_amazon.png |
5.80Кб |
logo_oreilly.png |
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logo_packt.png |
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logo.png |
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Main.storyboard |
4.36Кб |
man_pic_by_benjamin_planche.png |
135.04Кб |
Math.swift |
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MLMultiArray+Image.swift |
1.32Кб |
mnist_utils.py |
4.40Кб |
model.json |
43.04Кб |
model.json |
53.81Кб |
models.py |
8.99Кб |
mountain_pic_by_benjamin_planche.png |
108.23Кб |
MultiArray.swift |
10.22Кб |
neuron.py |
2.74Кб |
NonMaxSuppression.swift |
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OverlayView.java |
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package.json |
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package-lock.json |
399.05Кб |
palm_tree_and_lamp_pic_by_benjamin_planche.png |
136.32Кб |
Planche B. et al. Hands-On Computer Vision with TensorFlow 2...2019.pdf |
20.35Мб |
plot_utils.py |
4.08Кб |
plot_utils.py |
4.08Кб |
Podfile |
356б |
Podfile.lock |
548б |
Predictions.swift |
1.86Кб |
project.pbxproj |
25.58Кб |
rabbit_pic_by_benjamin_planche.png |
129.98Кб |
rain_forest_pic_by_benjamin_planche.png |
131.90Кб |
README.md |
113б |
README.md |
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README.md |
188б |
README.md |
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README.md |
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README.md |
371б |
README.md |
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README.md |
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README.md |
907б |
README.md |
2.42Кб |
README.txt |
60б |
renderer.py |
18.58Кб |
resnet_functional.py |
12.45Кб |
resnet_keras_app_tensorboard_training.png |
124.69Кб |
resnet_keras_app_transfer_learning_training.png |
122.69Кб |
resnet_objectoriented.py |
14.92Кб |
schoolbus_pic_by_benjamin_planche.png |
123.24Кб |
sea_by_benjamin_planche.png |
34.72Кб |
serve.sh |
1.59Кб |
settings.gradle |
15б |
simple_network.py |
8.08Кб |
snow_bicycle_by_benjamin_planche.png |
61.86Кб |
Software Hardware List.pdf |
274.35Кб |
strings.xml |
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styles.xml |
925б |
synthia_utils.py |
6.37Кб |
template-dimens.xml |
802б |
template-dimens.xml |
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template-styles.xml |
876б |
template-styles.xml |
726б |
template-styles.xml |
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tensorboard_result_grid.png |
30.67Кб |
testlist01.txt |
138.63Кб |
tf_hub_tensorboard_training.png |
107.25Кб |
tf_losses_and_metrics.py |
13.42Кб |
tf_losses_and_metrics.py |
13.42Кб |
tf_math.py |
3.97Кб |
tf_math.py |
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tile.9.png |
116б |
tiny_face_detector_model-shard1 |
188.79Кб |
tiny_face_detector_model-shard1.weight |
188.79Кб |
tiny_face_detector_model-weights_manifest.json |
2.89Кб |
tiny_imagenet_utils.py |
12.04Кб |
trainlist01.txt |
376.59Кб |
UIImage+CVPixelBuffer.swift |
6.97Кб |
unet.png |
177.56Кб |
unet.py |
7.01Кб |
utils.py |
7.08Кб |
ViewController.swift |
5.39Кб |
VisionObjectRecognitionViewController.swift |
10.24Кб |
woman_pic_by_benjamin_planche.png |
129.58Кб |
yarn.lock |
195.16Кб |