CourseClub NET Packtpub Introduction to Deep Learning with Caffe2 Implementing Weight Initialization Optimization and Regularization 24 Optimization Algorithms mp4

CourseClub NET Packtpub Introduction to Deep Learning with Caffe2
Implementing Weight Initialization Optimization and Regularization 24 Optimization Algorithms mp4

Name	[CourseClub.NET] Packtpub - Introduction to Deep Learning with Caffe2	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	1.0 GB
Total Files	32
Hash	DBE98BABFA8886A285B5313E9BBFEBBC44595542

/5.Implementing Weight Initialization, Optimization, and Regularization/24.Optimization Algorithms.mp4	36.2 MB
/5.Implementing Weight Initialization, Optimization, and Regularization/23.Optimizing Neural Networks.mp4	25.2 MB
/5.Implementing Weight Initialization, Optimization, and Regularization/20.Machine Learning Strategy.mp4	10.1 MB
/5.Implementing Weight Initialization, Optimization, and Regularization/22.Regularization of Neural Networks.mp4	26.6 MB
/5.Implementing Weight Initialization, Optimization, and Regularization/21.How to Perform Data Selection, Preparation, and Processing.mp4	33.1 MB
/2.Implementing Neural Networks and Deep Learning/06.Learn about Matrices Using Python – NumPy.mp4	59.7 MB
/3.Understanding Caffe2/12.Network Creators and Assisters in Caffe2 – Part 1.mp4	19.4 MB
/3.Understanding Caffe2/13.Network Creators and Assisters in Caffe2 – Part 2.mp4	22.6 MB
/3.Understanding Caffe2/14.Network Creators and Assisters in Caffe2 – Part 3.mp4	15.1 MB
/2.Implementing Neural Networks and Deep Learning/08.Understanding and Implementing Deep Neural Networks.mp4	21.3 MB
/1.Setting Up Caffe2/05.Running an Image Classifier Using Caffe2.mp4	102.1 MB
/6.Introduction to Recurrent Neural Network/25.Sequence Learning.mp4	18.5 MB
/1.Setting Up Caffe2/04.Transitioning from Machine Learning to Deep Learning.mp4	34.1 MB
/3.Understanding Caffe2/11.Mathematical Operators in Caffe2.mp4	29.0 MB
/4.Understanding a Convolutional Neural Network/15.How Machines Learn to See!.mp4	25.5 MB
Showing first 15 files of 32 total files