MLE5: Deep Learning
Deep learning is a crucial subset of machine learning concerned with mimicking the workings of the human brain through artificial neural networks (ANN), to learn features and conduct classification autonomously. In this course, instructor Asha Saxena explores many different aspects of deep learning, such as DNN, BNN, and ANN; components of neural networks; architectures, perceptrons and backpropagation; deep learning usages; and various applications.
Deep learning is a crucial subset of machine learning concerned with mimicking the workings of the human brain through artificial neural networks (ANN), to learn features and conduct classification autonomously. In this course, instructor Asha Saxena explores many different aspects of deep learning, such as DNN, BNN, and ANN; components of neural networks; architectures, perceptrons and backpropagation; deep learning usages; and various applications.
Purpose
To gain an overall understanding of deep learning and its primary components, as well as how and why it is used.
Outcome
- Understand the history and importance of deep learning
- Explore primary elements of deep learning
- Discuss when to use deep learning
This Course Includes:
- A 66-minute educational training video
- A 16-question exam
- Self-paced and on-demand e-learning
- Unlimited course access
- Course CEUs: 1
Individual Course Price: $99
Learning Plan Price: $499
Learning Plan CEUs: 6
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