Chang-joo Oh's repositories
d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。
ml
Machine Learning Projects and Learning Content
Data-Science-for-COVID-19
DS4C: Data Science for COVID-19 in South Korea
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
Deep-Learning-with-TensorFlow-2-and-Keras
Deep Learning with TensorFlow 2 and Keras, published by Packt
tensorflow2_tutorials_chinese
tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials
UNIST_STEM_Camp2020
UNIST STEM Camp2020 Contents
PyTorch
Deep Learning Zero to All - Pytorch
python-clustering-exercises
Jupyter Notebook exercises for k-means clustering with Python 3 and scikit-learn
DeepLearning
Deep Learning From Scratch
K-Means-Clustering-
K Means Clustering with sklearn datasets make_blobs
numpy-100
100 numpy exercises (100% complete)
Tensorflow-Tutorial
Tensorflow tutorial from basic to hard
Neural-Network-Study
신경망 정리
Multi-Layer-Perceptron-MNIST-with-PyTorch
This repository is MLP implementation of classifier on MNIST dataset with PyTorch
mlpractical
Machine Learning Practical course repository
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners with Latest APIs
TensorFlow-Tutorials
텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다
first-steps-with-tensorflow
도서 '텐서플로 첫걸음'의 예제 주피터 노트북입니다.
MNIST-Classification-with-Numpy-and-Backpropagation
Classifying MNIST digits without abstractifying the mathematical optimization involved in deep learning, diving into the meat of backpropagation.
MultilayeredFeedforwardBackpropagationExample
This is a borrowed example from a lession on "Implementing Gradient Descent". I've just structured and zipped comments, math and code in one notebook.
Tensorflow-CNN-with-CIFAR10-Dataset
Tensorflow kütüphanesi kullanarak Konvolüsyonel Sinir Ağı(Convolutional Neural Network) yapısının kodlanmasını ve bu yapının CIFAR10 veri seti ile eğitilmesi.
stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
Getting-Started-with-TensorFlow
Getting Started with TensorFlow, published by Packt
TensorFlow-1x-Deep-Learning-Cookbook
TensorFlow 1.x Deep Learning Cookbook, published by Packt
practical-ml-w-python
Source code for 'Practical Machine Learning with Python' by Dipanjan Sarkar, Raghav Bali, and Tushar Sharma