Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
4 Hour(s) 1 Minute(s)
Language
English
Taught by
Vladimir Grankin
Certificate
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
2 views
Course Overview
Deep neural networks visually explained in plain english & without complex math
Visual introduction to Deep Learning based on simple deep neural network. Take this course if you want to understand the magic behind deep neural networks and to get a excellent visual intuition on what is happening under the hood when data is travelling through the network and ends up as a prediction at it's output.
In this course we will fully demystify such concepts as weights, biases and activation functions. You will visually see what exactly they are doing and how neural network uses these components to come up with accurate predictions.
Course Content
- 1 section(s)
- 15 lecture(s)
- Section 1 Deep Learning - Deep Understanding by Visual Exploration
What You’ll Learn
- Deep understanding of what is deep neural network and how exactly it works under the hood to come up with good predictions in real life problems (we will only explore feedforward deep neural network for binary classification in our course, but we discuss fundamentals so knowledge you will get is also applicable to all the other network types!)
- Understand what is decision boundary and how exactly it is formed by a deep neural network
- Understand why deep neural networks are also knows as function approximators
Skills covered in this course
Reviews
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LLAYAL ALNASHMI
Most courses focus on practical lessons using pre-existing libraries. However, as a beginner or someone eager to understand AI more deeply, I am looking for courses that emphasize building a solid mathematical foundation and offer clear intuition for the parameters and functions used in activations. This course is both insightful and unique, and I hope to find other Deep Learning and AI courses that provide similar depth in mathematics, offering detailed, line-by-line Python code explanations—without relying on pre-existing libraries that bypass explaining the architecture behind the model.
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SSHARATH Raj
Good course
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SSiddhartha
Really like the coerces
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AAbraham Audu
I wasn't really grasping the content. Maybe because I'm new to Deep Learning
