Computer Vision Projects with Python 3 [Video]

磁力链接/BT种子名称

Computer Vision Projects with Python 3 [Video]

磁力链接/BT种子简介

种子哈希：e9cafac69d5fc6977f2fb33ca14615e07a324730
文件大小：509.93M
已经下载：2585次
下载速度：极快
收录时间：2020-02-01
最近下载：2025-09-03

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

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