Using computer vision to introduce fundamental tools and concepts for deep learning.

dsets

Things going to discuss are :

• Roles or Array's and Tensors
• Broadcasting (Important) how to use them for best results
• Stochastic Gradient Descent
• The mechanism for learning by updating weights automatically.
• Choice of loss function for basic classification tasks
• Rolo of Mini-Batches
• Math which basic Neural net contains
• Putting altogether.

Foundation - Pixels

path.ls() —> Returns an object of a special fastai class called L which has same functionality of Python's built-in list.

It prints the count of numbers at first before listing them.