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Deep Learning with Python 2020 [kornbolt]

Deep Learning with Python 2020 [kornbolt]

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Description






Elements of Programming Interviews in Java 2016[kornbolt]



Learn to create inventive programs on your Machine Learning&Deep Learning and Python―with no programming experience required. Discover how to configure, write Python scripts, create user-friendly GUIs.Projects include a object detection by find object with camera, tracking motion. Hands-on Deep Learning&Machine Learning and Object, face/yes detection, recognize handwriting, pedstrian detecting.



Computer vision and application fields

Setup Python, OpenCV, Numpy Packages for Visual Studio IDE on windows

Machine Learning and Object Detection with 1k-Means, 2k-NN, SVM and HOG, Cascade Classifier

Make Classifier for Object Detection Casscade Classify Tool, Collecting Data, Training Object to Classify, Labeling, Training LBG, Detection Object

Train Object Detection Classifier Using TensorFlow, Installing Anaconda, CUDA, and cuDNN, Setting Anaconda Virtual Environment, Gathering and labeling pictures, Generating training data, Creating a label map and configuring training, Training, Exporting the inference graph, Testing object detection classifier

File list
  • Deep Learning with Python 2020 [kornbolt]
  • Deep Learning with Python 2020 [kornbolt].pdf 7.8 MB
  • Provided by Kornbolt.txt 434 B

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