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Udemy - Modern Deep Convolutional Neural Networks with PyTorch

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name:Udemy - Modern Deep Convolutional Neural Networks with PyTorch
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Description

Dear friend, welcome to the course “Modern Deep Convolutional Neural Networks”! I tried to do my best in order to share my practical experience in Deep Learning and Computer vision with you.

The course consists of 4 blocks:

   Introduction section, where I remind you, what is Linear layers, SGD, and how to train Deep Networks.
   Convolution section, where we discuss convolutions, it’s parameters, advantages and disadvantages.
   Regularization and normalization section, where I share with you useful tips and tricks in Deep Learning.
   Fine tuning, transfer learning, modern datasets and architectures

If you don’t understand something, feel free to ask equations. I will answer you directly or will make a video explanation.

Prerequisites:

   Matrix calculus, Linear Algebra, Probability theory and Statistics
   Basics of Machine Learning: Regularization, Linear Regression and Classification,
   Basics of Deep Learning: Linear layers, SGD,  Multi-layer perceptron
   Python, Basics of PyTorch

Who this course is for:

   Who knows a bit about neural networks
   Who wants to enrich their Deep Learning and Image Processing knowledge
   Who wants to study advanced techniques and practices

Requirements

   Machine Learning
   Linear Regression and Classification
   Matrix Calculus, Probability
   Deep Learning basis: Multi perceptron, optimization
   Python, PyTorch

Last updated 5/2019
YouTube 视频:
类别:Tutorials
语言:English  English
总大小:674.27 MB
哈希信息:A56894D2D5EF9234F4E39D077A7DE35DA63E0648
增加:tutsgalaxy Verified Uploader
加入的日期:2019-08-08 08:41:49
洪流地位:Torrent Verified


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无可奉告，仍将过帐