From de68f9e6b44cc3270db8b9e5e07d9d022b7457e0 Mon Sep 17 00:00:00 2001 From: cynthia-liu <40779025+cynthia-liu@users.noreply.github.com> Date: Mon, 16 Jul 2018 17:48:17 +0800 Subject: [PATCH] version-delete for apps (#534) --- apps/anomaly-detection/README.md | 1 - apps/dogs-vs-cats/README.md | 1 - apps/image-augmentation/README.md | 1 - apps/image-similarity/README.md | 1 - apps/object-detection/README.md | 1 - apps/recommendation/README.md | 1 - apps/sentiment-analysis/README.md | 1 - apps/tfnet/README.md | 1 - apps/variational-autoencoder/README.md | 1 - 9 files changed, 9 deletions(-) diff --git a/apps/anomaly-detection/README.md b/apps/anomaly-detection/README.md index 911221fb20..ddf5d9d0c3 100644 --- a/apps/anomaly-detection/README.md +++ b/apps/anomaly-detection/README.md @@ -4,7 +4,6 @@ This is a simple example of unsupervised anomaly detection using Analytics Zoo K ## Environment * Python 2.7/3.5/3.6 (pandas 0.22.0) * Apache Spark 1.6.0/2.1.0 (This version needs to be same with the version you use to build Analytics Zoo) -* Analytics Zoo 0.1.0 ## Run with Jupyter * Download Analytics Zoo and build it. diff --git a/apps/dogs-vs-cats/README.md b/apps/dogs-vs-cats/README.md index 2a2c0c35da..ecca5285f0 100644 --- a/apps/dogs-vs-cats/README.md +++ b/apps/dogs-vs-cats/README.md @@ -6,7 +6,6 @@ In this notebook, we will use a pre-trained Inception_V1 model. But we will oper * JDK 8 * Apache Spark 2.x * Jupyter Notebook 4.1 -* Analytics Zoo 0.1.0 ## Steps to run the notebook * Download Analytics Zoo and build it. diff --git a/apps/image-augmentation/README.md b/apps/image-augmentation/README.md index a503900b29..645a15fc96 100644 --- a/apps/image-augmentation/README.md +++ b/apps/image-augmentation/README.md @@ -4,7 +4,6 @@ This is a simple example of image augmentation using Analytics ZOO API. We use v ## Environment * Python 2.7/3.5/3.6 (numpy 1.11.1) * Apache Spark 1.6.0/2.1.0 (This version needs to be same with the version you use to build Analytics Zoo) -* Analytics ZOO 0.1.0 ## Run with Jupyter * Download Analytics Zoo and build it. diff --git a/apps/image-similarity/README.md b/apps/image-similarity/README.md index b0fce8a80b..966c1b751b 100644 --- a/apps/image-similarity/README.md +++ b/apps/image-similarity/README.md @@ -6,7 +6,6 @@ provided by users. ## Environment * Python 2.7/3.5/3.6 * Apache Spark 1.6.0/2.1.0 (This version needs to be same with the version you use to build Analytics Zoo) -* Analytics Zoo 0.1.0 ## Run with Jupyter * Download Analytics Zoo and build it. diff --git a/apps/object-detection/README.md b/apps/object-detection/README.md index 72f865196e..58ead57118 100644 --- a/apps/object-detection/README.md +++ b/apps/object-detection/README.md @@ -4,7 +4,6 @@ This is a simple example of object detection using Analytics Zoo Object Detectio ## Environment * Python 2.7/3.5/3.6 (Need moviepy) * Apache Spark 1.6.0/2.1.0 (This version needs to be same with the version you use to build Analytics Zoo) -* Analytics Zoo 0.1.0 ## Run with Jupyter * Download Analytics Zoo and build it. diff --git a/apps/recommendation/README.md b/apps/recommendation/README.md index 487aee17c7..d2190c583c 100644 --- a/apps/recommendation/README.md +++ b/apps/recommendation/README.md @@ -6,7 +6,6 @@ These two notebooks demonstrate how to build neural network recommendation syste * JDK 8 * Spark 1.6.0/2.1.1/2.1.2/2.2.0(This version needs to be same with the version you use to build Analytics Zoo) (wide_n_deep needs to use Spark version >= 2.1.2) -* Analytics Zoo 0.1.0 * Jupyter Notebook 4.1 ## Steps to run the notebook diff --git a/apps/sentiment-analysis/README.md b/apps/sentiment-analysis/README.md index 071c99517c..14dd56189a 100644 --- a/apps/sentiment-analysis/README.md +++ b/apps/sentiment-analysis/README.md @@ -12,7 +12,6 @@ In this example, you will learn how to use Analytics Zoo to develop deep learnin ## Environment * Python 2.7/3.5/3.6 * Apache Spark 1.6.0/2.1.0 (This version needs to be same with the version you use to build Analytics Zoo) -* Analytics Zoo 0.1.0 ## Run with Jupyter * Download Analytics Zoo and build it. diff --git a/apps/tfnet/README.md b/apps/tfnet/README.md index 844c41f044..ea85842665 100644 --- a/apps/tfnet/README.md +++ b/apps/tfnet/README.md @@ -5,7 +5,6 @@ This example demonstrates how to do image classification inference using a pre-t ## Environment * Tensorflow 1.8.0 * Apache Spark 1.6.0/2.1.0 (This version needs to be same with the version you use to build Analytics Zoo) -* Analytics Zoo 0.2.0 ## Install Tensorflow-Slim image classification model library and down the checkpoint diff --git a/apps/variational-autoencoder/README.md b/apps/variational-autoencoder/README.md index 3d91beab19..b0229c0f2b 100644 --- a/apps/variational-autoencoder/README.md +++ b/apps/variational-autoencoder/README.md @@ -3,7 +3,6 @@ This directory contains three notebooks to show you how to use [Variational Autoencoders](https://arxiv.org/pdf/1606.05908.pdf) in Analytics Zoo. These notebooks are developed on Apache Spark 2.1 -and Analytics Zoo 0.1.0. 1. [Using Variational Autoencoder to Generate Digital Numbers](./using_variational_autoencoder_to_generate_digital_numbers.ipynb) This notebook used the [MNIST](http://yann.lecun.com/exdb/mnist/)