lionelmessi6410 / Neural-Networks-from-ScratchLinks
In this tutorial, you will learn the fundamentals of how you can build neural networks without the help of the deep learning frameworks, and instead by using NumPy.
☆162Updated 2 years ago
Alternatives and similar repositories for Neural-Networks-from-Scratch
Users that are interested in Neural-Networks-from-Scratch are comparing it to the libraries listed below
Sorting:
- This repository contains machine learning pdf books☆30Updated 6 years ago
- This Repository Contains Solution to the Assignments of the Natural Language Processing Specialization from Deeplearning.ai on Coursera T…☆81Updated 2 years ago
- A Great Collection of Deep Learning (e)Books☆168Updated last year
- Learning Deep Learning☆327Updated last year
- Graduate course on Machine Learning☆129Updated 6 years ago
- Mastering PyTorch, published by Packt☆337Updated last month
- ☆366Updated 8 years ago
- Collection of Algorithms implemented in Python☆243Updated 3 years ago
- Python code (in the form of Jupyter ipython notebooks) to support the book "Math and Architectures of Deep Learning" (Krishnendu Chaudhur…☆241Updated last year
- STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)☆538Updated 3 years ago
- In this repository you will find everything you need to know about Convolutional Neural Network, and how to implement the most famous CNN…☆20Updated 4 years ago
- PyTorch Ultimate 2023 - From Basics to Cutting-Edge, published by Packt☆139Updated last month
- A Convolutional Neural Network implemented from scratch (using only numpy) in Python.☆356Updated last year
- This repository contains the programming assignments and slides from the deep learning course from coursera offered by deeplearning.ai☆139Updated 5 years ago
- Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai☆481Updated 4 years ago
- Code Files for the Udemy Course: The Complete Neural Networks Bootcamp: Theory, Applications☆187Updated 2 years ago
- Book and code where describe each and every topic of neural network from scratch.☆422Updated 10 months ago
- This repository contains links to machine learning exams, homework assignments, and exercises that can help you test your understanding.☆437Updated 9 months ago
- Machine Learning library for educational purpose.☆343Updated last year
- Notes for Deep Learning Specialization Courses led by Andrew Ng.☆551Updated 3 years ago
- This repo contains my work & The code base for this Deep Learning Specialization offered by deeplearning.AI☆40Updated last year
- Implementation of basic ML algorithms from scratch in python...☆315Updated 4 years ago
- Code Transformer neural network components piece by piece☆371Updated 2 years ago
- My own notes, implementations, and musings for MIT's graduate course in machine learning, 6.867☆349Updated last year
- Notes about "Attention is all you need" video (https://www.youtube.com/watch?v=bCz4OMemCcA)☆334Updated 2 years ago
- T81-558: PyTorch - Applications of Deep Neural Networks @Washington University in St. Louis☆483Updated last week
- Collection of useful data science topics along with code and articles☆27Updated 4 years ago
- The full collection of all codes for my Youtube Channel segregated as per topic.☆441Updated 2 years ago
- (Weekly Update) Python / Modern C++ Solutions of All 1643 LeetCode Problems☆13Updated 5 years ago
- ☆128Updated last year