PyTorch Primer For Neural Networks & Deep Learning in Python
Ditulis pada: August 29, 2019
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