Applied Deep Learning with PyTorch

Level: Intermediate

Starting with the basics of deep learning and their various applications, Applied Deep Learning with PyTorch shows you how to solve trending tasks, such as image classification and natural language processing by understanding the different architectures of the neural networks.

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Key Features of this Applied Deep Learning with PyTorch Course:

After-course instructor coaching benefit
After-course computing sandbox included
Learning Tree end-of-course exam included

You Will Learn How To:

Detect a variety of data problems to which you can apply deep learning solutions
Learn the PyTorch syntax and build a single-layer neural network with it
Build a deep neural network to solve a classification problem
Develop a style transfer model
Implement data augmentation and retrain your model
Build a system for text processing using a recurrent neural network

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2-day instructor led training course
One-on-one after-course instructor coaching
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Standard £1295

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PRODUCT #1277

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Note: This course runs for 2 Days

9 - 10 Mar 9:00 AM - 4:30 PM GMT London / Online (AnyWare) Reserve Your Seat
AFTERNOON START: Attend these live courses online via Anyware

10 - 11 Feb 2:00 PM - 9:30 PM GMT Herndon, VA / Online (AnyWare) Reserve Your Seat

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Important Applied Deep Learning with PyTorch Course Information

Requirements
Some working knowledge of Python and familiarity with the basics of machine learning are a must. However, knowledge of NumPy and pandas will be beneficial, but not essential.
Who Should Attend This Course
Applied Deep Learning with PyTorch is designed for data scientists, data analysts, and developers who want to work with data using deep learning techniques. Anyone looking to explore and implement advanced algorithms with PyTorch will also find this course useful.