Metric is to drive human understanding and the loss is to drive automated learning. Stochastic Gradient Descent - As Arthur Samuel had mentioned the description of machine learning Suppose we arrange for some automatic means of testing the effectiveness of any current weight assignment in terms of actual performance and provide a mechanism for altering … Continue reading FastAI : Training a Digit Classifier - [Chapter-4] - Part II
fastai : Training a Digit Classifier - Baseline Model [Chapter-4] - Part I
Chapter 1 Notes - https://aprakash.wordpress.com/2021/07/05/fastai-just-go-out-and-play-chapter-1/ I want to start this blog with some of my personal notes before jumping on the book. Below is the notebook with examples of 1-dimensional, 2-dimensional and 3-dimensional array using numpy. 2. What is a norm? A norm is a measure of distance and have three properties All distances are … Continue reading fastai : Training a Digit Classifier - Baseline Model [Chapter-4] - Part I
Learn. Share. Repeat. 