Since the origin iris sample doesn't work with the new tensorflow(like 1.0, 0.12), so here is the fix version of that.
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Updated
Feb 23, 2017 - Python
TensorFlow is an open source library that was created by Google. It is used to design, build, and train deep learning models.
Since the origin iris sample doesn't work with the new tensorflow(like 1.0, 0.12), so here is the fix version of that.
친절한 한글 설명과 함께하는 텐서플로우 튜토리얼입니다!
My experiment using data from Kaggle
Tutorial materials to help you understand how to use TensorFlow.
Notes about TensorFlow taken from Hands-On Machine Learning with Scikit-Learn and TensorFlow
Intel-Tensorflow-course with my solutions
iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data
TensorFlow Tutorial
A guide to installing TensorFlow 2 🤖
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)
Learning Deep TensorFlow End-To-End Process
📃 A curated list of awesome TensorFlow tutorial for beginner : https://tensorflow.studynote.life
iPython notebook and Android app that shows how to build LSTM model in TensorFlow and deploy it on Android
Automated Driving in NFS using CNN.
Implementation of Model-based Reinforcement Learning Approach in Tensorflow
Simple Tensorflow tutorials for learning by example
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
Created by Google Brain Team
Released November 9, 2015