Byte-Sized Deep Learning Series: Introducing Neural Networks
- Created By raju2006
- Last Updated December 29th, 2023
- Overview
- Prerequisites
- Audience
- Audience
- Curriculum
Session Description:
Dive into Neural Networks and Deep Learning in 90 Minutes! Discover how they work, and harness the power of TensorFlow to build and train your own neural network for data-driven insights.
Course Code/Duration:
BDT148 / 90 minutes
Learning Objectives:
During this course, you will have the opportunity to:
- Explore machine learning, the uniqueness of neural networks,and how data enables machines to learn.
- Understand how deep learning is different from traditional machine learning.
- Understand how neural networks learn and their role in deep learning.
- Apply your learning by using TensorFlow to build and train a neural network to learn from data.
- Learners should have a basic knowledge of Python programming.
- This course is for those who are interested in gaining an understanding of machine learning and neural networks, foundational to the use of deep learning.
- This course is for those who are interested in gaining an understanding of machine learning and neural networks, foundational to the use of deep learning.
Course Outline:
- Exploring Machine Learning and Neural Networks
- Understanding the Difference between Deep Learning and Traditional Machine Learning
- Learning about Neural Networks and Their Role in Deep Learning
- Hands-on Lab: Building and Training a Neural Network with TensorFlow
The curriculum is empty
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