PyTorch Primer For Neural Networks & Deep Learning in Python

PyTorch Primer For Neural Networks & Deep Learning in Python, Master the Latest and Hottest of Deep Learning Frameworks (PyTorch) for Python Data Science

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Created by Minerva Singh 

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What you'll learn

• Getting started with Anaconda, an important Python data science environment
• Configuring the Anaconda environment for getting started with PyTorch
• Theoretical underpinnings of the important concepts (such as deep learning) without the jargon
• Implementing artificial neural networks (ANN) with PyTorch
• Implementing deep learning (DL) models with PyTorch
• Implement common machine learning algorithms for Image Classification
• Implement PyTorch based deep learning algorithms on imagery data
• Requirements
• The Ability To Install the Anaconda Environment On Your Computer/Laptop
• Know how to install and load packages in Anaconda
• Interest in Learning to Process Image Data
• Basic Knowledge of Python Programming Syntax and Concepts is Needed to Follow the Code (e.g. functions and programming flows)
• Prior Exposure to Python Data Science Concepts Will be Useful