├── 1_History_of_neural_models.ipynb ├── 2_quiver.py ├── 3_Transfer Learning For classification.ipynb ├── 4A_Object_detection.ipynb ├── 4B_trainDetector.sh ├── 4C_Object_detection_trained_model.ipynb ├── 5A_Object Segmentation.ipynb ├── 5B_Object_segmentation_training.ipynb ├── 5C_train_segmentation.sh ├── 5D_Inference_Trained_Model_Segmentation.ipynb ├── Computer Vision, an (Un_)Expected Journey, with Keras and Tensorfow.pptx.pdf └── README.md /1_History_of_neural_models.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rnditdev/PyData_London_2018_Computer_Vision/HEAD/1_History_of_neural_models.ipynb -------------------------------------------------------------------------------- /2_quiver.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rnditdev/PyData_London_2018_Computer_Vision/HEAD/2_quiver.py -------------------------------------------------------------------------------- /3_Transfer Learning For classification.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rnditdev/PyData_London_2018_Computer_Vision/HEAD/3_Transfer Learning For classification.ipynb -------------------------------------------------------------------------------- /4A_Object_detection.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rnditdev/PyData_London_2018_Computer_Vision/HEAD/4A_Object_detection.ipynb -------------------------------------------------------------------------------- /4B_trainDetector.sh: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rnditdev/PyData_London_2018_Computer_Vision/HEAD/4B_trainDetector.sh -------------------------------------------------------------------------------- /4C_Object_detection_trained_model.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rnditdev/PyData_London_2018_Computer_Vision/HEAD/4C_Object_detection_trained_model.ipynb -------------------------------------------------------------------------------- /5A_Object Segmentation.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rnditdev/PyData_London_2018_Computer_Vision/HEAD/5A_Object Segmentation.ipynb -------------------------------------------------------------------------------- /5B_Object_segmentation_training.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rnditdev/PyData_London_2018_Computer_Vision/HEAD/5B_Object_segmentation_training.ipynb -------------------------------------------------------------------------------- /5C_train_segmentation.sh: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rnditdev/PyData_London_2018_Computer_Vision/HEAD/5C_train_segmentation.sh -------------------------------------------------------------------------------- /5D_Inference_Trained_Model_Segmentation.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rnditdev/PyData_London_2018_Computer_Vision/HEAD/5D_Inference_Trained_Model_Segmentation.ipynb -------------------------------------------------------------------------------- /Computer Vision, an (Un_)Expected Journey, with Keras and Tensorfow.pptx.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rnditdev/PyData_London_2018_Computer_Vision/HEAD/Computer Vision, an (Un_)Expected Journey, with Keras and Tensorfow.pptx.pdf -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rnditdev/PyData_London_2018_Computer_Vision/HEAD/README.md --------------------------------------------------------------------------------