1. Intro_to_Algorithms https://classroom.udacity.com/courses/cs215 2. Computability, Complexity & Algorithms https://classroom.udacity.com/courses/ud061 3. Data Structures & Algorithms in Python https://classroom.udacity.com/courses/ud513 4. Introduction to Graduate Algorithms https://classroom....
self-contained Coursera courses match the material in their book, “Practical Programming: An Introduction to Computer Science Using Python 3.” LTP1 covers 40–50% of the
Learn about discriminative and generative models and their relation to GANs Learn the intuition and math behind upsampling algorithms and transposed convolutions Understand the intuition and math behind BCE loss and how it's used for GANs Develop a fundamental understanding of the entire GAN train...
Reinforcement learning (RL) is an area of machine learning that focuses on how you, or how some thing, might act in an environment in order to maximize some given reward. Reinforcement learning algorithms study the behavior of subjects in such environments and learn to optimize that behavior. ...
Fulfilling your request also requires proprietary algorithms (PageRank, in the case of a Google Search) and credentials (the password to the site's database). Those are things a web site would rather not expose to the browser. This kind of work is calledserver-side(or "back-end")processin...
I will introduce basic types, and I will show you how easy Big O notation is to understand. If you have ever read a dull, overly complex book on data structures and algorithms (abbreviated to DSA), you will love how quickly this chapter teaches you things!
you the reach, data and algorithms needed to target your perfect audience. Now, all you need to do is learn how to find your golden needle in the Facebook haystack. By mastering these audience types and targeting options, you’ll be well on your way to defining your future customer base...
to tell, I decided to reanimate some of the inert algorithms found in various archives, doing so by recoding and rebuilding them by hand. Ultimately the book is organized around three such reenactments: weaving the algebraic patterns of Ada K. Dietz from the late 1940s (for section 2); ...
Notice also that we’ve started to describe things a little differently. Instead of thinking of the duck behaviors as a set of behaviors, we’ll start thinking of them as a family of algorithms. Think about it: in the SimUDuck design, the algorithms represent things a duck would do (diffe...
better algorithms; 满足上述有效计算的原则; arch-specific detailed optimizations, 例如vector register-SSE, AVX, L1 cache优化等; 指令集优化。 对于GPU而言,1~2能获得3~10X的加速比,是优化的重点。而3带来的好处一般在30%~80%之间。CPU则不同,第三类优化可以带来较大的性能提升。