Deep neural networks visually explained in plain english & without complex math
What you'll learn:
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
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 visualintuition 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 asweights, biases and activation functions. You will visuallysee whatexactlythey are doing and how neural network uses these components to come up with accurate predictions.
