Computer Vision Projects with Python Video | E9CAFAC69D5FC6977F2FB33CA14615E07A324730

Computer Vision Projects with Python Video

Name	Computer Vision Projects with Python 3 [Video]	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	534.7 MB
Total Files	19
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Hash	E9CAFAC69D5FC6977F2FB33CA14615E07A324730

/4.Deep Learning Image Classification with TensorFlow/
17.Retraining with Our Own Images.mp4	54.5 MB
1.Introduction and Tool Setup/
02.Downloading and Installing Python 3_Anaconda.mp4	23.2 MB
03.Installing Additional Libraries.mp4	49.4 MB
04.Exploring the Jupyter Notebook.mp4	36.4 MB
01.The Course Overview.mp4	14.0 MB
2.Handwritten Digit Recognition with scikit-learn and TensorFlow/
05.Acquiring and Processing MNIST Digit Data.mp4	25.8 MB
06.Creating and Training a Support Vector Machine.mp4	8.2 MB
07.Applying the Support Vector Machine to New Data.mp4	33.0 MB
08.Introducing TensorFlow with Digit Classification.mp4	41.0 MB
09.Evaluating the Results.mp4	13.4 MB
3.Facial Feature Tracking and Classification with dlib/
10.Introducing dlib.mp4	28.2 MB
11.What Are Facial Landmarks.mp4	13.4 MB
12.Example One – Finding 68 Facial Landmarks in Images.mp4	42.0 MB
13.Example Two – Faces in Videos.mp4	20.0 MB
14.Example Three – Facial Recognition.mp4	39.4 MB
4.Deep Learning Image Classification with TensorFlow/
15.A Deeper Introduction to TensorFlow.mp4	23.3 MB
16.Using a Pre-Trained Model (Inception) for Image Classification.mp4	46.7 MB
18.Speeding Up Computations with GPUs.mp4	18.4 MB
Exercise Files/
code_33881.zip	4.3 MB
Total files 19