Introduction to Neural Network
5.0 /5- Offered bySimplilearn
- Private Institute
- Estd. 2010
Introduction to Neural Network at Simplilearn Overview
Duration | 4 hours |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
Introduction to Neural Network at Simplilearn Highlights
- Earn a certificate and avail a 90 Days of access to this free course by Simplilearn
- Gain a potential to earn an average salary of $99K per year as a neural network engineer
Introduction to Neural Network at Simplilearn Course details
- For Deep learning enthusiasts, Software engineers, Data enthusiasts and Statisticians
- Artificial neural networks
- Backpropagation and gradient descent
- Convolutional neural networks
- Recurrent neural networks
- Longshort term memory
- This free course will help you learn neural networks from scratch. It will help you understand the basics of neural networks and their different types. Find out about data processing by neurons, backpropagation, gradient descent algorithms, convolution neural networks, and recurrent neural networks. Common careers for neural network professionals include Neural network engineer, Data scientist, Data analyst and NLP scientist.
Introduction to Neural Network at Simplilearn Curriculum
Introduction
Introduction Neural Network
Lesson 01: What is A Neural Network?
What is A Neural Network
Lesson 02: How Does The Neural Network Work?
How Does The Neural Network Work
Lesson 03: Types of Artificial Neural Networks
Types of Artificial Neural Networks
Lesson 04: Advantages and Applications of Neural Network
Advantages & Applications of Neural Network
Lesson 05: A Use Case of Neural Network
A Use Case of Neural Network
Lesson 06: Backpropagation and Gradient Descent
Backpropagation & Gradient Descent
Lesson 07: All About Convolutional Neural Networks
All About Convolutional Neural Networks
Lesson 08: Use Case Implementation using CNN
Use Case Implementation using CNN
Lesson 09: Introduction to Recurrent Neural Network
Introduction to Recurrent Neural Network
Lesson 10: Vanishing and Exploding Gradient Problem
Vanishing and Exploding Gradient Problem
Lesson 11: Long Short Term Memory
Long Short Term Memory
Lesson 12: Use Case Implementation of LSTM
Use Case Implementation of LSTM
Other courses offered by Simplilearn
Student Forum
Anything you would want to ask experts?