Deep Learning From Scratch, Part 3: Generalizing Gradient Descent
If the previous post was just about understanding gradient descent, this one is about generalizing gradient descent with different input/output nodes.…
If the previous post was just about understanding gradient descent, this one is about generalizing gradient descent with different input/output nodes.…
One of the biggest takeaways from this section, is the idea that measuring the error is extremely important in neural network training.…
βIf you wish to get good at anything, learn the theory behind what you seek to learn/masterβ. This wisdom from my grandfather has stayed with me to this day, including in starting this Deep Learning (DL) journey.…
One of the goals I have this year is to build a Deep Learning (DL) web application and build an accompanying tutorial series to teach others!…
You super-serve and take care of those who benefit the most from what you create, knowing that more opportunity & money will flow naturally from that.…
Photo by Jayphen Simpson / UnsplashWhile this post seeks to break down the concept of a generator, it is assumed that there is comfortability with the basics of programming or in this case Python programming. Thanks!I would venture to say that generators can make your code more efficient, easier to…
Photo by Hitesh Choudhary on UnsplashIf you have not read the first blog on the why, how, and hope of this series, check out the first ππΎ here.Python 2 vs Python 3 π: Which one?!?!I think the biggest reason why I have chosen Python 3 over Python 2 is that…
Picture courtesy of Shahadat Rahman from UnsplashThe WhyI remember being in my first Algorithms class for Computer Science at Elizabeth City State University (ECSU) thinking, βWhat have I gotten myself into?!β. The material was daunting, and (most of the time) I felt incompetent doing it. On top of these feelings,…