Packt Publishing Deep Dive into Python Machine Learning 160 Building an Optical Character Recognizer Using Neural Networks mp4

Packt Publishing Deep Dive into Python Machine Learning
160 Building an Optical Character Recognizer Using Neural Networks mp4

Name	Packt Publishing - Deep Dive into Python Machine Learning	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	2.8 GB
Total Files	191
Hash	8D48EBB15A1AF945BF781071ADB6BE1AA5602953

/160 - Building an Optical Character Recognizer Using Neural Networks.mp4	10.9 MB
/155 - Building a Single-Layer Neural Network.mp4	6.2 MB
/44 - Building a Simple Reactive Programming Framework.mp4	15.4 MB
/156 - Building a deep neural network.mp4	9.6 MB
/148 - Building a Face Detector using Haar Cascades.mp4	11.5 MB
/131 - Building a Speech Recognizer.mp4	13.6 MB
/146 - Building an object recognizer.mp4	8.1 MB
/143 - Building a Star Feature Detector.mp4	7.7 MB
/93 - Building Nonlinear Classifier Using SVMs.mp4	8.4 MB
/106 - Building a Customer Segmentation Model.mp4	10.3 MB
/108 - Building Machine Learning Pipelines.mp4	15.9 MB
/179 - Large Scale Datasets, ImageNet, and Very Deep Neural Networks.mp4	21.3 MB
/83 - Building a Logistic Regression Classifier.mp4	21.2 MB
/101 - Building a Mean Shift Clustering.mp4	11.8 MB
/137 - Building Conditional Random Fields for Sequential Text Data.mp4	20.0 MB
Showing first 15 files of 191 total files