Deep Learning A-Z: Hands-On Artificial Neural Networks – Udemy
On Udemy, you can take this certification course. It's one of the most popular courses on the platform. Learners will obtain adequate hands-on coding experience by learning about neural networks through six real-world projects. The students will also learn about the various tools and libraries that are used to create neural network models.
Learners will gain proficiency with deep learning concepts and understand the differences between various neural networks by the end of the course. They will also be able to apply concepts such as self-organizing maps in practice and build different models for CNN, RNN, Boltzmann machines, and Autoencoders for various problems such as image recognition, stock price prediction, financial fraud detection, and recommender systems.
The course contents are:
- Introduction
- ANN
- ANN Intuition and Building an Ann
- CNN, CNN Intuition and Building a CNN
- RNN, RNN Intuition and Building an RNN
- and Improving RNN
- Self-Organizing Maps
- SOM Intuition and Building a SOM
- Mega Case Study
- Building Boltzmann Machine
- Building Autoencoders
- Regression and Classification
- Data Preprocessing Template
- Logistic Regression Implementation
- Bonus Lectures/ Machine Learning Basics
Instructor: Krill Eremenko, Hadelin de Ponteves, and Ligency Team
Level: Beginner/Intermediate
Duration: 22 hours and 37 minutes
User Review: 4.6/5
No. of Reviews: 38,607
Price: $47.6
Website: udemy.com/course/deeplearning/
