Brief Introduction
Deep neural networks visually explained in plain english & without complex mathDescription
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.
Requirements
- Requirements
- Basic python skills - optional, you will need python if you want to run the code we discuss yourself
- Familiarity with neural networks at high level (terms like bias, weight and activation function should be familiar)
- Jupyter notebook (optional and is needed if you want to run all the demos yourself)
Vladimir Grankin
4.3 Raiting
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