Deep Learning Course Syllabus
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Our Deep Learning Course Syllabus gives a comprehensive explanation of how to enable the machine to imitate human activities. You will learn the basics of deep learning concepts, shallow neural networks, neural network basics, and deep learning networks in our industry-based Deep Learning Course Curriculum. The students can customize our Deep Learning Course Content as per their learning requirements with satisfying hands-on exposure.
Course Syllabus
Download SyllabusIntroduction To Deep Learning
- What Exactly Is Deep Learning?
- Neural Network
- Supervised Learning With Neural Networks
- Prominence Of Deep Learning
Shallow Neural Networks
- Neural Networks Overview
- Neural Network Representation
- Vectorizing Across Multiple Example
- Derivatives Of Activation Functions
- Random Initialization
Neural Networks Basics
- Binary Classification
- Logistic Regression
- Gradient Descent
- Logistic Regression Gradient Descent
- Vectorization
Deep Neural Networks:
- Neural Networks Overview
- Neural Network Representation
- Vectorizing Across Multiple Example
- Derivatives Of Activation Functions
- Random Initialization
