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Deep Learning with PyTorch
Take our Deep Learning with PyTorch course! Learn how to use your knowledge of Python to create neural networks with Facebook’s PyTorch library.
How to Become a Data Scientist
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written by Pierian Training founder Jose Portilla!
What You’ll Learn
- Learn how to use NumPy to format data into arrays
- Use pandas for data manipulation and cleaning
- Learn classic machine learning theory principals
- Use PyTorch Deep Learning Library for image classification
- Use PyTorch with Recurrent Neural Networks for Sequence Time Series Data
- Create state of the art Deep Learning models to work with tabular data
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Course Content
This course focuses on balancing important theory concepts with practical hands-on exercises and projects that let you learn how to apply the concepts in the course to your own data sets! PyTorch’s deep integration into Python allows popular libraries and packages to be used for easily writing neural network layers in Python. By the end of this course you will be able to create a wide variety of deep learning models to solve your own problems with your own data sets.
- NumPy
- Pandas
- Machine Learning Theory
- Test/Train/Validation Data Splits
- Model Evaluation – Regression and Classification Tasks
- Unsupervised Learning Tasks
- Tensors with PyTorch
- Neural Network Theory
- Perceptrons
- Networks
- Activation Functions
- Cost/Loss Functions
- Backpropagation
- Gradients
- Artificial Neural Networks
- Convolutional Neural Networks
- Recurrent Neural Networks
Intermediate to experienced Python developers who want to learn how to use Facebook’s PyTorch library for creating deep neural networks.
Course Description
This PyTorch training course is designed for students familiar with the basics of data science and machine learning who want to learn how to use Facebook’s PyTorch library for deep learning and neural network based applications. PyTorch is an open source deep learning platform that provides a seamless path from research prototyping to production deployment. It is rapidly becoming one of the most popular deep learning frameworks for Python. Deep integration into Python allows popular libraries and packages to be used for easily writing neural network layers in Python. A rich ecosystem of tools and libraries extends PyTorch and supports development in computer vision, NLP and more.
Instructor-Led
Learn directly from our expert instructors via live webinar. Also includes the full video-on-demand course.
On-Demand
Get access to this self-paced Deep Learning with PyTorch training course plus the entire Pierian on-demand Data Science Training Library with a Data Science Hero membership.
Starting at
$99
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