ppotoc / Fundamentals-of-Neural-NetworksLinks
This teaching package contains modular contents for the introduction of the fundamentals of Neural Networks. The package consists of a series of MATLAB Live Scripts with complementary PowerPoint presentations.
☆41Updated 5 months ago
Alternatives and similar repositories for Fundamentals-of-Neural-Networks
Users that are interested in Fundamentals-of-Neural-Networks are comparing it to the libraries listed below
Sorting:
- Learn Fourier analysis using live scripts and apps.☆126Updated 2 weeks ago
- Book on MATLAB with Python 🐍☆86Updated last year
- IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Sy…☆157Updated 3 years ago
- Interactive courseware module that addresses fundamental matrix methods and linear systems taught in introductory linear algebra courses.☆19Updated 3 weeks ago
- Files demonstrating MATLAB and Python interoperability☆112Updated 6 months ago
- Matlab files with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems…☆307Updated last year
- Python notebooks for Numerical Analysis☆152Updated 4 months ago
- Learn linear algebra by applications in stoichiometry, steganography, static force analysis, and machine learning.☆20Updated 3 weeks ago
- Interactive module that introduces fundamentals of derivatives including the product and chain rule as presented in Calculus I courses☆17Updated 3 weeks ago
- The MATLAB® Live Task for Python® enables you to write and execute Python code directly inside of a MATLAB Live Script.☆57Updated last year
- Machine Learning for Engineers in Python☆82Updated last month
- Source code for 'Dynamical Systems with Applications using MATLAB®, 2ed' by Stephen Lynch http://www.springer.com/book/9783319068190☆31Updated 5 years ago
- MATLAB Integration for Jupyter enables you to run MATLAB code in Jupyter Notebooks and other Jupyter environments. You can also open MATL…☆341Updated last month
- Virtual labs and mechanisms for studying controls.☆84Updated last month
- Source code for 'Dynamical Systems with Applications Using Python' by Stephen Lynch☆154Updated 7 years ago
- A python code to calculate planetary orbits in a three-body gravitational system. The code can demonstrate how one planet affects the orb…☆75Updated 5 years ago
- Series of notebooks to illustrate different plotting features using Python☆149Updated 3 years ago
- Constrained deep learning is an advanced approach to training deep neural networks by incorporating domain-specific constraints into the …☆68Updated 6 months ago
- splearn: package for signal processing and machine learning with Python. Contains tutorials on understanding and applying signal processi…☆81Updated 3 years ago
- MATLAB creating artistic visualizations☆76Updated last week
- An awesome list of helpful resources for students learning MATLAB & Simulink. List includes tips & tricks, tutorials, videos, cheat sheet…☆520Updated this week
- This repository collates a number of MATLAB examples demonstrating Scientific Machine Learning (SciML) and Physics Informed Machine Learn…☆143Updated 3 weeks ago
- An overview of programming concepts including arrays, strings, loops, and algorithms with a project.☆30Updated 2 weeks ago
- This example shows how to call a TensorFlow model from MATLAB using co-execution with Python.☆54Updated last year
- Jupyter notebooks for Dynamics and Control☆276Updated 10 months ago
- Introduction to Numerical Optimization with Python☆25Updated last month
- These files are notes that I am taking from multiple sources to learn the various important packages of python.☆33Updated 6 years ago
- Discover pretrained models for deep learning in MATLAB☆544Updated last year
- This is my public repo of all my MATLAB Screen cast codes and other random codes written in MATLAB☆54Updated 2 years ago
- Guidelines for writing clean and fast code in MATLAB☆74Updated 3 years ago