Tensorflow2.0
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Updated
Sep 22, 2022 - Python
TensorFlow is an open source library that was created by Google. It is used to design, build, and train deep learning models.
Tensorflow2.0
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
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)
iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data
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.
Simple Tensorflow tutorials for learning by example
CopyNet (Copy Mechanism in Seq2Seq) implementation with TensorFlow 2
친절한 한글 설명과 함께하는 텐서플로우 튜토리얼입니다!
Tutorial materials to help you understand how to use TensorFlow.
Intel-Tensorflow-course with my solutions
Learning Deep TensorFlow End-To-End Process
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.
TensorFlow Tutorial
Fastest model build tutorial.
My experiment using data from Kaggle
A guide to installing TensorFlow 2
Created by Google Brain Team
Released November 9, 2015