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[CourseClub.NET] Packtpub - Introduction to Deep Learning with Caffe2
magnet:?xt=urn:btih:dbe98babfa8886a285b5313e9bbfebbc44595542&dn=[CourseClub.NET] Packtpub - Introduction to Deep Learning with Caffe2
磁力链接详情
Hash值:
dbe98babfa8886a285b5313e9bbfebbc44595542
点击数:
170
文件大小:
961.94 MB
文件数量:
29
创建日期:
2021-5-11 07:19
最后访问:
2024-12-24 18:49
访问标签:
CourseClub
NET
Packtpub
-
Introduction
to
Deep
Learning
with
Caffe2
文件列表详情
1.Setting Up Caffe2/01.The Course Overview.mp4 24.79 MB
1.Setting Up Caffe2/02.Set Up Caffe2 on Linux.mp4 16.53 MB
1.Setting Up Caffe2/03.Understanding the Caffe2 Architecture.mp4 22.01 MB
1.Setting Up Caffe2/04.Transitioning from Machine Learning to Deep Learning.mp4 32.48 MB
1.Setting Up Caffe2/05.Running an Image Classifier Using Caffe2.mp4 97.34 MB
2.Implementing Neural Networks and Deep Learning/06.Learn about Matrices Using Python – NumPy.mp4 56.91 MB
2.Implementing Neural Networks and Deep Learning/07.Understanding and Implementing Logistic Regression and Neural Networks.mp4 18.2 MB
2.Implementing Neural Networks and Deep Learning/08.Understanding and Implementing Deep Neural Networks.mp4 20.29 MB
3.Understanding Caffe2/09.Caffe2 Introduction.mp4 15.3 MB
3.Understanding Caffe2/10.Caffe2 Python Wrapper.mp4 39.03 MB
3.Understanding Caffe2/11.Mathematical Operators in Caffe2.mp4 27.64 MB
3.Understanding Caffe2/12.Network Creators and Assisters in Caffe2 – Part 1.mp4 18.51 MB
3.Understanding Caffe2/13.Network Creators and Assisters in Caffe2 – Part 2.mp4 21.56 MB
3.Understanding Caffe2/14.Network Creators and Assisters in Caffe2 – Part 3.mp4 14.44 MB
4.Understanding a Convolutional Neural Network/15.How Machines Learn to See!.mp4 24.31 MB
4.Understanding a Convolutional Neural Network/16.Introduction to Convolutional Neural Networks.mp4 27.86 MB
4.Understanding a Convolutional Neural Network/17.Implement a Convolution Layer Using Caffe2.mp4 32.52 MB
4.Understanding a Convolutional Neural Network/18.Pooling Layer and Dropout in Caffe2.mp4 79.01 MB
4.Understanding a Convolutional Neural Network/19.Role of Activation Functions in Solving Non-Linear Optimization.mp4 57.37 MB
5.Implementing Weight Initialization, Optimization, and Regularization/20.Machine Learning Strategy.mp4 9.68 MB
5.Implementing Weight Initialization, Optimization, and Regularization/21.How to Perform Data Selection, Preparation, and Processing.mp4 31.53 MB
5.Implementing Weight Initialization, Optimization, and Regularization/22.Regularization of Neural Networks.mp4 25.38 MB
5.Implementing Weight Initialization, Optimization, and Regularization/23.Optimizing Neural Networks.mp4 24.07 MB
5.Implementing Weight Initialization, Optimization, and Regularization/24.Optimization Algorithms.mp4 34.48 MB
6.Introduction to Recurrent Neural Network/25.Sequence Learning.mp4 17.61 MB
6.Introduction to Recurrent Neural Network/26.Introduction to Recurrent Neural Networks.mp4 16.08 MB
6.Introduction to Recurrent Neural Network/27.LSTMs – A Special Case of RNNs.mp4 42.03 MB
6.Introduction to Recurrent Neural Network/28.Learning about Word Embeddings.mp4 56.52 MB
6.Introduction to Recurrent Neural Network/29.Introduction to Augmented Recurrent Neural Networks.mp4 58.47 MB
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