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Computer Vision Projects with Python 3 [Video]
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2020-8-30 21:00
2024-9-9 22:28
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505.85 MB
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Computer
Vision
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Video
文件列表
4.Deep Learning Image Classification with TensorFlow/17.Retraining with Our Own Images.mp4
52MB
1.Introduction and Tool Setup/02.Downloading and Installing Python 3_Anaconda.mp4
22.1MB
1.Introduction and Tool Setup/03.Installing Additional Libraries.mp4
47.15MB
1.Introduction and Tool Setup/04.Exploring the Jupyter Notebook.mp4
34.74MB
2.Handwritten Digit Recognition with scikit-learn and TensorFlow/05.Acquiring and Processing MNIST Digit Data.mp4
24.63MB
2.Handwritten Digit Recognition with scikit-learn and TensorFlow/06.Creating and Training a Support Vector Machine.mp4
7.86MB
2.Handwritten Digit Recognition with scikit-learn and TensorFlow/07.Applying the Support Vector Machine to New Data.mp4
31.49MB
2.Handwritten Digit Recognition with scikit-learn and TensorFlow/08.Introducing TensorFlow with Digit Classification.mp4
39.09MB
2.Handwritten Digit Recognition with scikit-learn and TensorFlow/09.Evaluating the Results.mp4
12.74MB
3.Facial Feature Tracking and Classification with dlib/10.Introducing dlib.mp4
26.93MB
3.Facial Feature Tracking and Classification with dlib/11.What Are Facial Landmarks.mp4
12.78MB
3.Facial Feature Tracking and Classification with dlib/12.Example One – Finding 68 Facial Landmarks in Images.mp4
40.09MB
3.Facial Feature Tracking and Classification with dlib/13.Example Two – Faces in Videos.mp4
19.03MB
3.Facial Feature Tracking and Classification with dlib/14.Example Three – Facial Recognition.mp4
37.58MB
4.Deep Learning Image Classification with TensorFlow/15.A Deeper Introduction to TensorFlow.mp4
22.18MB
4.Deep Learning Image Classification with TensorFlow/16.Using a Pre-Trained Model (Inception) for Image Classification.mp4
44.54MB
1.Introduction and Tool Setup/01.The Course Overview.mp4
13.39MB
4.Deep Learning Image Classification with TensorFlow/18.Speeding Up Computations with GPUs.mp4
17.53MB
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