The Theory of Deep Learning - Deep Neural Networks 2022
What you'll learn
- Know about the inspiration behind Deep Learning.
- Learn about neurons and how they compute.
- Gain fundamental knowledge of activation functions.
- Learn how Gradient Descent is performed for error minimization.
- Learn about the feed-forward and back-propagation cycles of Deep Neural Networks.
Requirements
- Basic knowledge of Machine Learning.
Description
Learn The Theory of Deep Learning in the most comprehensive and up-to-date course on the topic created by The Click Reader.
In this course, you will learn the inspiration behind deep learning and how it relates to the human brain. You will also gain clear knowledge about the building blocks of neural networks (called neurons) along with how they compute, make predictions, and learn.
We will then move on to learning the theory of deep neural networks, including how data is fed into it, how neurons compute the data, and how predictions are made. We'll end the course by learning how deep neural networks learn/train using a combination of feed-forward and back-propagation cycles.
Also, do not worry if you're not great at mathematics since we've covered all the necessary mathematical concepts in the course itself along with real-life examples.
After going through this course, you will gain all the know-how of how to build your own deep neural network from scratch.
Why you should take this course?
Updated 2022 course content: All our course content is updated as per the latest technologies and tools available in the market
Guided support: We are always there to guide you through the Q/As so feel free to ask us your queries.
Who this course is for:
- Any beginner, intermediate, or expert developer looking to work in Deep Learning.
Instructors
Hi! We're The Click Reader and we are a team of data scientists from Nepal dedicated to providing top-notch educational courses related to Data Visualization, Data Science, and Machine Learning on the Udemy platform.
Our data science specialization courses have been taken by more than 10,000+ students from 156 countries on Udemy.
Combinedly, we have over 8+ years of experience working in data science. We are continuously moving towards the goal to impart the knowledge that we have gained in our professional careers through the courses we've put up on Udemy.
Hi, I'm Merishna, currently teaching data science topics for "The Click Reader" at Udemy.
I am a Data Scientist by profession with experience in working with various domains of Data science and Artificial Intelligence such as Computer Vision and NLP in order to reinvent and automate traditional business processes.
I love working with data and I am looking forward to sharing my experience and knowledge through these hands-on courses.