ITC
algorithmica
| ITC | algorithmica | |
|---|---|---|
| 1 | 1 | |
| 4 | 3,075 | |
| - | 3.0% | |
| 10.0 | 0.0 | |
| over 1 year ago | 5 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ITC
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Help regarding Perceptron exercise. Im having trouble understanding how to implement it in MATLAB. Its my first time trying, I was able to do previous excersises but Im not sure about this and would really appreciate some help. Links of my code in the comments.
Thank you so much to everyone. I leave the code if interested https://github.com/SeaWar741/ITC/blob/master/7to_Semestre/INT301-2223-S1-Bio-Computation/Lab1/Exercise2.m
algorithmica
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For variables should I use the smallest type possible?
If you're interested in performance oriented programming, check out Algorithmica. It's a free online book that treats this topic in-depth.
What are some alternatives?
ML-foundations - Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
Multi-Type-TD-TSR - Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition:
Computer-Science-Resources - This repository aims at providing the best resources for computer science students at one place. So they don't have to waste their precious time finding good resources.
AcademicContent - Free tech resources for faculty, students, researchers, life-long learners, and academic community builders for use in tech based courses, workshops, and hackathons.
selfie - An educational software system of a tiny self-compiling C compiler, a tiny self-executing RISC-V emulator, and a tiny self-hosting RISC-V hypervisor.
Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.