Deep Learning Course
Deep Learning
Development,Data Science and AI ML,Deep Learning
Lectures -14
Duration -1 hours
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Course Description
Deep Learning is a new part of Machine Learning, which has been introduced with the objective of moving Machine Learning closer to Artificial Intelligence.
Machine learning is a scientific discipline that explores the construction and study of algorithms that can learn from data. Such algorithms operate by building a model from example inputs and using that to make predictions or decisions, rather than following strictly static program instructions. Machine learning is closely related to and often overlaps with computational statistics; a discipline that also specializes in prediction-making.
Through this training we are going to learn and apply concepts of neural networks and optimization techniques in building a deep learning application.
Target Audience :
- Anyone who wants to learn about data and analytics
- Data Engineers
- Analysts
- Architects
- Software Engineers
- IT operations
- Technical managers
Goals
What will you learn in this course:
- What is a neural network?
- Functioning of a single node and multi-node neural network.
- Understanding forward propagation and backpropagation.
- Activation functions
- Optimization techniques
- Some Deep Learning libraries
- Introduction to Keras and Tensorflow
- Demo on building a Deep Learning Application.
Prerequisites
What are the prerequisites for this course?
- Basic knowledge of machine learning required
- Basic knowledge of programming and statistics
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
1 Lectures
- Introduction to Deep Learning 04:47 04:47
Neural Network
2 Lectures
Function
2 Lectures
Tensorflow
6 Lectures
Implementation of Sequential Model
3 Lectures
Instructor Details
Corporate Bridge Consultancy Private Limited
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