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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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| activity_camera.xml |
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| AndroidManifest.xml |
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| AppDelegate.swift |
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| Array.swift |
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| AutoFitTextureView.java |
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| base-colors.xml |
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| base-strings.xml |
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| base-template-styles.xml |
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| bed_pic_by_benjamin_planche.png |
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| bird_pic_by_benjamin_planche.png |
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| book_cover.png |
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| BorderedText.java |
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| bridge_by_benjamin_planche.png |
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| BUILD |
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| BUILD |
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| build.gradle |
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| build.gradle |
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| butterfly_pic_by_benjamin_planche.png |
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| Camera2BasicFragment.java |
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| CameraActivity.java |
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| castle_pic_by_benjamin_planche.png |
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| cat.jpg |
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| ch1_nb1_build_and_train_neural_network_from_scratch.ipynb |
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| ch2_nb1_mnist_keras.ipynb |
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| ch3_nb1_discover_cnns_basic_ops.ipynb |
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| ch3_nb2_build_and_train_first_cnn_with_tf2.ipynb |
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| ch3_nb3_experiment_with_optimizers.ipynb |
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| ch3_nb4_apply_regularization_methods_to_cnns.ipynb |
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| ch4_nb1_implement_resnet_from_scratch.ipynb |
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| ch4_nb2_reuse_models_from_keras_apps.ipynb |
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| ch4_nb3_fetch_models_from_tf_hub.ipynb |
1.10MB |
| ch4_nb4_apply_transfer_learning.ipynb |
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| ch4_nb5_explore_imagenet_and_its_tiny_version.ipynb |
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| ch5_nb1_yolo_inference.ipynb |
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| ch6_nb1_discover_autoencoders.ipynb |
379.95KB |
| ch6_nb2_denoise_with_autoencoders.ipynb |
272.54KB |
| ch6_nb3_improve_image_quality_with_dae.ipynb |
1.44MB |
| ch6_nb4_preparing_data_for_smart_car_apps.ipynb |
1.44MB |
| ch6 nb5 build and train a fcn8s semantic segmentation model for smart cars ipynb |
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| ch6 nb6 build and train a unet for urban object and instance segmentation ipynb |
2.62MB |
| ch7_nb1_set_up_efficient_input_pipelines_with_tf_data.ipynb |
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| ch7_nb2_generate_and_parse_tfrecords.ipynb |
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| ch7_nb3_render_images_from_3d_models.ipynb |
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| ch7_nb4_train_segmentation_model_on_synthetic_images.ipynb |
2.27MB |
| ch7_nb5_train_a_simple_domain_adversarial_network_(dann).ipynb |
318.43KB |
| ch7_nb6_apply_dann_to_train_segmentation_model_on_synthetic_data.ipynb |
847.66KB |
| ch7_nb7_generate_images_with_vae_models.ipynb |
546.07KB |
| ch7_nb8_generate_images_with_gan_models.ipynb |
545.89KB |
| ch8_nb1_action_recognition.ipynb |
25.88KB |
| ch9_nb1_profiling.ipynb |
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| ch9_nb2_nms_speed_comparison.ipynb |
38.89KB |
| ch9_nb3_train_model.ipynb |
70.78KB |
| cifar_utils.py |
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| cityscapes_utils.py |
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| cityscapes_utils.py |
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| classification_utils.py |
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| cloud_pic_by_benjamin_planche.png |
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| coco.names |
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| colors.xml |
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| Contents.json |
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| Contents.json |
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| contents.xcworkspacedata |
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| contents.xcworkspacedata |
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| convert.py |
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| CoreMLHelpers.h |
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| crab_by_benjamin_planche.png |
129.98KB |
| CVPixelBuffer+Helpers.swift |
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| dog_example.jpg |
159.92KB |
| fcn.png |
190.71KB |
| fcn.py |
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| fcn.py |
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| forrest_pic_by_benjamin_planche.png |
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| 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 |
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| gradle.properties |
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| 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-shard4of4 |
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| header.jpg |
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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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| IDEWorkspaceChecks.plist |
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| IDEWorkspaceChecks.plist |
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| ImageClassifier.java |
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| 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 |
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| Info.plist |
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| item_selector.xml |
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| keras_custom_callbacks.py |
2.83KB |
| keras_custom_callbacks.py |
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| keras_custom_callbacks.py |
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| labels_emotion.txt |
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| LaunchScreen.storyboard |
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| listview_row.xml |
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| logo_amazon.png |
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| logo_oreilly.png |
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| logo_packt.png |
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| logo.png |
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| Main.storyboard |
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| man_pic_by_benjamin_planche.png |
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| Math.swift |
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| MLMultiArray+Image.swift |
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| mnist_utils.py |
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| model.json |
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| model.json |
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| models.py |
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| mountain_pic_by_benjamin_planche.png |
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| MultiArray.swift |
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| neuron.py |
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| NonMaxSuppression.swift |
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| OverlayView.java |
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| package.json |
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| package-lock.json |
399.05KB |
| palm_tree_and_lamp_pic_by_benjamin_planche.png |
136.32KB |
| Planche B. et al. Hands-On Computer Vision with TensorFlow 2...2019.pdf |
20.35MB |
| plot_utils.py |
4.08KB |
| plot_utils.py |
4.08KB |
| Podfile |
356B |
| Podfile.lock |
548B |
| Predictions.swift |
1.86KB |
| project.pbxproj |
25.58KB |
| rabbit_pic_by_benjamin_planche.png |
129.98KB |
| rain_forest_pic_by_benjamin_planche.png |
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| README.md |
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| README.md |
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| README.md |
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| README.md |
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| README.md |
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| README.md |
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| README.md |
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| README.md |
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| README.md |
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| README.md |
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| README.txt |
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| renderer.py |
18.58KB |
| resnet_functional.py |
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| resnet_keras_app_tensorboard_training.png |
124.69KB |
| resnet_keras_app_transfer_learning_training.png |
122.69KB |
| resnet_objectoriented.py |
14.92KB |
| schoolbus_pic_by_benjamin_planche.png |
123.24KB |
| sea_by_benjamin_planche.png |
34.72KB |
| serve.sh |
1.59KB |
| settings.gradle |
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| simple_network.py |
8.08KB |
| snow_bicycle_by_benjamin_planche.png |
61.86KB |
| Software Hardware List.pdf |
274.35KB |
| strings.xml |
1.40KB |
| styles.xml |
925B |
| synthia_utils.py |
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| template-dimens.xml |
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| template-dimens.xml |
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| template-styles.xml |
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| template-styles.xml |
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| template-styles.xml |
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| tensorboard_result_grid.png |
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| testlist01.txt |
138.63KB |
| tf_hub_tensorboard_training.png |
107.25KB |
| tf_losses_and_metrics.py |
13.42KB |
| tf_losses_and_metrics.py |
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| tf_math.py |
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| tf_math.py |
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| tile.9.png |
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| tiny_face_detector_model-shard1 |
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| tiny_face_detector_model-shard1.weight |
188.79KB |
| tiny_face_detector_model-weights_manifest.json |
2.89KB |
| tiny_imagenet_utils.py |
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| trainlist01.txt |
376.59KB |
| UIImage+CVPixelBuffer.swift |
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| unet.png |
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| unet.py |
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| utils.py |
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| ViewController.swift |
5.39KB |
| VisionObjectRecognitionViewController.swift |
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| woman_pic_by_benjamin_planche.png |
129.58KB |
| yarn.lock |
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