March 2020
Advanced
2h 12m
English
Closed Captioning available in English
Overview
In this 2 hr course, you will delve into leveraging TensorBoard for visualizing PyTorch models. Learn how to track training data and improve your AI models systematically. By the end of this course, you'll be well-equipped to apply TensorBoard in your PyTorch projects.
What I will be able to do after this course
- Understand how to integrate TensorBoard with PyTorch to visualize training runs.
- Gain skills in visualizing scalar values, images, text embeddings, and more.
- Learn to utilize TensorBoard features from environments like Jupyter Notebook.
- Acquire techniques for tracking and optimizing hyperparameters.
- Develop proficiency in improving AI models using TensorBoard visualizations.
Course Instructor(s)
Joe Papa, an experienced educator and AI expert, has spent years training professionals in the field of machine learning. With a background in software development and AI research, Joe brings practical examples and a hands-on teaching style to his courses.
Who is it for?
This course is ideal for developers, data scientists, and AI professionals familiar with PyTorch looking to enhance their visualization skills. A basic knowledge of Python and PyTorch is recommended. The course helps you optimize AI model training and analysis using TensorBoard.
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