[CourseClub.NET] Packtpub - Introduction to Deep Learning with Caffe2

• [CourseClub.NET] Packtpub - Introduction to Deep Learning with Caffe2
• 1.Setting Up Caffe2/01.The Course Overview.mp4 24.8 MB
• 1.Setting Up Caffe2/02.Set Up Caffe2 on Linux.mp4 16.5 MB
• 1.Setting Up Caffe2/03.Understanding the Caffe2 Architecture.mp4 22 MB
• 1.Setting Up Caffe2/04.Transitioning from Machine Learning to Deep Learning.mp4 32.5 MB
• 1.Setting Up Caffe2/05.Running an Image Classifier Using Caffe2.mp4 97.3 MB
• 2.Implementing Neural Networks and Deep Learning/06.Learn about Matrices Using Python – NumPy.mp4 56.9 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 20.3 MB
• 3.Understanding Caffe2/09.Caffe2 Introduction.mp4 15.3 MB
• 3.Understanding Caffe2/10.Caffe2 Python Wrapper.mp4 39 MB
• 3.Understanding Caffe2/11.Mathematical Operators in Caffe2.mp4 27.6 MB
• 3.Understanding Caffe2/12.Network Creators and Assisters in Caffe2 – Part 1.mp4 18.5 MB
• 3.Understanding Caffe2/13.Network Creators and Assisters in Caffe2 – Part 2.mp4 21.6 MB
• 3.Understanding Caffe2/14.Network Creators and Assisters in Caffe2 – Part 3.mp4 14.4 MB
• 4.Understanding a Convolutional Neural Network/15.How Machines Learn to See!.mp4 24.3 MB
• 4.Understanding a Convolutional Neural Network/16.Introduction to Convolutional Neural Networks.mp4 27.9 MB
• 4.Understanding a Convolutional Neural Network/17.Implement a Convolution Layer Using Caffe2.mp4 32.5 MB
• 4.Understanding a Convolutional Neural Network/18.Pooling Layer and Dropout in Caffe2.mp4 79 MB
• 4.Understanding a Convolutional Neural Network/19.Role of Activation Functions in Solving Non-Linear Optimization.mp4 57.4 MB
• 5.Implementing Weight Initialization, Optimization, and Regularization/20.Machine Learning Strategy.mp4 9.7 MB
• 5.Implementing Weight Initialization, Optimization, and Regularization/21.How to Perform Data Selection, Preparation, and Processing.mp4 31.5 MB
• 5.Implementing Weight Initialization, Optimization, and Regularization/22.Regularization of Neural Networks.mp4 25.4 MB
• 5.Implementing Weight Initialization, Optimization, and Regularization/23.Optimizing Neural Networks.mp4 24.1 MB
• 5.Implementing Weight Initialization, Optimization, and Regularization/24.Optimization Algorithms.mp4 34.5 MB
• 6.Introduction to Recurrent Neural Network/25.Sequence Learning.mp4 17.6 MB
• 6.Introduction to Recurrent Neural Network/26.Introduction to Recurrent Neural Networks.mp4 16.1 MB
• 6.Introduction to Recurrent Neural Network/27.LSTMs – A Special Case of RNNs.mp4 42 MB
• 6.Introduction to Recurrent Neural Network/28.Learning about Word Embeddings.mp4 56.5 MB
• 6.Introduction to Recurrent Neural Network/29.Introduction to Augmented Recurrent Neural Networks.mp4 58.5 MB
• Exercise Files/code_34511.zip 26.4 MB

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