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TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Course Files for Complete Python 3 Bootcamp Course on Udemy
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Build your neural network easy and fast, 莫烦Python中文教学
Simple tutorials using Google's TensorFlow Framework
The "Python Machine Learning (3rd edition)" book code repository
Python code for common Machine Learning Algorithms
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more
2019 KAIST 딥러닝 홀로서기 세미나용 저장소입니다.
The hands-on NLTK tutorial for NLP in Python
A collection of deep learning tutorials using Tensorflow and Python
Tutorial on creating your own GAN in Tensorflow
Kind PyTorch Tutorial for beginners
Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Importa…
Notes for machine learning
Material for the tutorial: "Deep Diving into GANs: from theory to production"
Materials for the "Advanced Scikit-learn" class in the afternoon
Code for my EMNLP 2018 paper "SimpleQuestions Nearly Solved: A New Upperbound and Baseline Approach"
Code, Slides, & Materials for our Tensorflow Workshop Series for Spring Quarter 2017
Complete Guide to TensorFlow for Deep Learning with Python Udemy Course
Tensorflow implementation of embed CNN-LSTM network for sentiment analysis task.
Research project for task-oriented dialogue system with jointly training multi-intent classification and slot filling
Everything in 15 days
The implementation of ResNet using Tensorflow. This implementation is based on this paper: https://arxiv.org/pdf/1603.05027.pdf
This is the implementation of simple GAN using TensorFlow as a framwork.
Deep learning models using keras and tensorflow
Updated and simpler generative adversarial network tutorial for Winter 2018 workshop series