种子简介
种子名称:
Computer Vision Projects with Python 3 [Video]
文件类型:
视频
文件数目:
18个文件
文件大小:
505.85 MB
收录时间:
2020-8-30 21:00
已经下载:
3次
资源热度:
134
最近下载:
2025-1-26 06:18
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Computer Vision Projects with Python 3 [Video].torrent
4.Deep Learning Image Classification with TensorFlow/17.Retraining with Our Own Images.mp452MB
1.Introduction and Tool Setup/02.Downloading and Installing Python 3_Anaconda.mp422.1MB
1.Introduction and Tool Setup/03.Installing Additional Libraries.mp447.15MB
1.Introduction and Tool Setup/04.Exploring the Jupyter Notebook.mp434.74MB
2.Handwritten Digit Recognition with scikit-learn and TensorFlow/05.Acquiring and Processing MNIST Digit Data.mp424.63MB
2.Handwritten Digit Recognition with scikit-learn and TensorFlow/06.Creating and Training a Support Vector Machine.mp47.86MB
2.Handwritten Digit Recognition with scikit-learn and TensorFlow/07.Applying the Support Vector Machine to New Data.mp431.49MB
2.Handwritten Digit Recognition with scikit-learn and TensorFlow/08.Introducing TensorFlow with Digit Classification.mp439.09MB
2.Handwritten Digit Recognition with scikit-learn and TensorFlow/09.Evaluating the Results.mp412.74MB
3.Facial Feature Tracking and Classification with dlib/10.Introducing dlib.mp426.93MB
3.Facial Feature Tracking and Classification with dlib/11.What Are Facial Landmarks.mp412.78MB
3.Facial Feature Tracking and Classification with dlib/12.Example One – Finding 68 Facial Landmarks in Images.mp440.09MB
3.Facial Feature Tracking and Classification with dlib/13.Example Two – Faces in Videos.mp419.03MB
3.Facial Feature Tracking and Classification with dlib/14.Example Three – Facial Recognition.mp437.58MB
4.Deep Learning Image Classification with TensorFlow/15.A Deeper Introduction to TensorFlow.mp422.18MB
4.Deep Learning Image Classification with TensorFlow/16.Using a Pre-Trained Model (Inception) for Image Classification.mp444.54MB
1.Introduction and Tool Setup/01.The Course Overview.mp413.39MB
4.Deep Learning Image Classification with TensorFlow/18.Speeding Up Computations with GPUs.mp417.53MB