Pytorch For Deep Learning Bootcamp: Zero To Mastery
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Learn How to Use PyTorch (Facebook Library) for Deep Learning with Practical Examples
What you’ll learn
Understand the basic concepts about neural network and how it works
Use PyTorch for Linear Regression using Multilayer Perceptron (MLP)
Learn how to work with different data types such as tensors and arrays
Use PyTorch for image classification using Convolutional Neural Network (CNN)
Use PyTorch for time series prediction using Recurrent Neural Network (RNN)
Requirements
Understanding basic Python topics (Function, for loop, etc.)
Knowing the basics of OOP is recommended
Description
Who this course is for:
beginner to advance python developers, data analysts, engineers and overall data science enthusiast want to learn about deep learning with PyTorch
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