Introduction to Deep Learning
- Offered byUDACITY
Introduction to Deep Learning at UDACITY Overview
Introduction to Deep Learning
at UDACITY
Dive deep into the fundamental theoretical and practical topics related to deep learning.
Duration | 1 month |
Mode of learning | Online |
Credential | Certificate |
Introduction to Deep Learning at UDACITY Highlights
Introduction to Deep Learning
at UDACITY
- Flexible learning program
- Technical mentor support
- Practical tips and industry best practices
- Unlimited submissions and feedback loops
- Additional suggested resources to improve
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Introduction to Deep Learning at UDACITY Course details
Introduction to Deep Learning
at UDACITY
What are the course deliverables?
- Learn how experts think about deep learning, when it is appropriate to use deep learning, and how to apply the skill. Then learn the foundational
- algorithms underpinning modern deep learning: gradient descent and backpropagation. Once those foundations are established, explore design constructs of neural networks and the impact of these design decisions. Finally, explore how neural network training can be optimized for accuracy and robustness using training techniques like early stopping, dropout, regularization, and momentum. Throughout the course, theory and fundamental implementations are woven together with PyTorch code to reinforce both the theory and practice of deep learning.
More about this course
- Take Udacity's Introduction to Deep Learning course that covers the fundamental theoretical and practical topics in deep learning.
Introduction to Deep Learning at UDACITY Curriculum
Introduction to Deep Learning
at UDACITY
Deep Learning
Minimizing the Error Function with Gradient Descent
Introduction to Neural Networks
Training Neural Networks
Course Project: Developing a Handwritten Digits Classifier with PyTorch
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Introduction to Deep Learning
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Student Forum
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