Models and examples built with TensorFlow

Tensorflow Implementation of Deep SVDD

Example code for the book Fluent Python

The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"

mnist competition submission repo for Tensorflow KR group

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

Convolutional Neural Network for Text Classification in Tensorflow

TensorFlow Basic Tutorial Labs

머신러닝

Learning Machine Learning with TensorFlow

TensorFlow Tutorial and Examples for beginners

Python package for Korean natural language processing.

How to use TensorFlow

⭐️ Study - 모두를 위한 딥러닝 강의 by Sung Kim ( https://hunkim.github.io/ml/ )

Computation using data flow graphs for scalable machine learning

Simple tutorials using Google's TensorFlow Framework

Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.

Keras Generative Adversarial Networks

MNIST classification using Multi-Layer Perceptron (MLP) with 2 hidden layers. Some weight-initializers and batch-normalization are implemented.

Jupyter Notebooks for the Python Data Science Handbook

『밑바닥부터 시작하는 딥러닝』(한빛미디어, 2017)

Python/Bash scripts for creating custom Neural Net Training Data -- this repo is for the MNIST format

CNNs for sentence classification