Computer Vision Projects with Python 3 [Video]
- 收录时间:2019-04-21 21:11:04
- 文件大小:510MB
- 下载次数:125
- 最近下载:2021-01-20 22:19:47
- 磁力链接:
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文件列表
- 4.Deep Learning Image Classification with TensorFlow/17.Retraining with Our Own Images.mp4 52MB
- 1.Introduction and Tool Setup/03.Installing Additional Libraries.mp4 47MB
- 4.Deep Learning Image Classification with TensorFlow/16.Using a Pre-Trained Model (Inception) for Image Classification.mp4 45MB
- 3.Facial Feature Tracking and Classification with dlib/12.Example One – Finding 68 Facial Landmarks in Images.mp4 40MB
- 2.Handwritten Digit Recognition with scikit-learn and TensorFlow/08.Introducing TensorFlow with Digit Classification.mp4 39MB
- 3.Facial Feature Tracking and Classification with dlib/14.Example Three – Facial Recognition.mp4 38MB
- 1.Introduction and Tool Setup/04.Exploring the Jupyter Notebook.mp4 35MB
- 2.Handwritten Digit Recognition with scikit-learn and TensorFlow/07.Applying the Support Vector Machine to New Data.mp4 31MB
- 3.Facial Feature Tracking and Classification with dlib/10.Introducing dlib.mp4 27MB
- 2.Handwritten Digit Recognition with scikit-learn and TensorFlow/05.Acquiring and Processing MNIST Digit Data.mp4 25MB
- 4.Deep Learning Image Classification with TensorFlow/15.A Deeper Introduction to TensorFlow.mp4 22MB
- 1.Introduction and Tool Setup/02.Downloading and Installing Python 3_Anaconda.mp4 22MB
- 3.Facial Feature Tracking and Classification with dlib/13.Example Two – Faces in Videos.mp4 19MB
- 4.Deep Learning Image Classification with TensorFlow/18.Speeding Up Computations with GPUs.mp4 18MB
- 1.Introduction and Tool Setup/01.The Course Overview.mp4 13MB
- 3.Facial Feature Tracking and Classification with dlib/11.What Are Facial Landmarks.mp4 13MB
- 2.Handwritten Digit Recognition with scikit-learn and TensorFlow/09.Evaluating the Results.mp4 13MB
- 2.Handwritten Digit Recognition with scikit-learn and TensorFlow/06.Creating and Training a Support Vector Machine.mp4 8MB
- Exercise Files/code_33881.zip 4MB
