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Computer Vision Projects with Python 3 [Video]\2.Handwritten Digit Recognition with scikit-learn and TensorFlow\05.Acquiring and Processing MNIST Digit Data.mp4
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Computer Vision Projects with Python 3 [Video]\2.Handwritten Digit Recognition with scikit-learn and TensorFlow\08.Introducing TensorFlow with Digit Classification.mp4
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Computer Vision Projects with Python 3 [Video]\2.Handwritten Digit Recognition with scikit-learn and TensorFlow\09.Evaluating the Results.mp4
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Computer Vision Projects with Python 3 [Video]\2.Handwritten Digit Recognition with scikit-learn and TensorFlow\07.Applying the Support Vector Machine to New Data.mp4
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Computer Vision Projects with Python 3 [Video]\2.Handwritten Digit Recognition with scikit-learn and TensorFlow\06.Creating and Training a Support Vector Machine.mp4
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Computer Vision Projects with Python 3 [Video]\1.Introduction and Tool Setup\03.Installing Additional Libraries.mp4
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Computer Vision Projects with Python 3 [Video]\1.Introduction and Tool Setup\01.The Course Overview.mp4
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Computer Vision Projects with Python 3 [Video]\4.Deep Learning Image Classification with TensorFlow \18.Speeding Up Computations with GPUs.mp4
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Computer Vision Projects with Python 3 [Video]\4.Deep Learning Image Classification with TensorFlow \15.A Deeper Introduction to TensorFlow.mp4
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Computer Vision Projects with Python 3 [Video]\4.Deep Learning Image Classification with TensorFlow \16.Using a Pre-Trained Model (Inception) for Image Classification.mp4
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Computer Vision Projects with Python 3 [Video]\4.Deep Learning Image Classification with TensorFlow \17.Retraining with Our Own Images.mp4
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Computer Vision Projects with Python 3 [Video]\3.Facial Feature Tracking and Classification with dlib\13.Example Two – F |
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