Salesforce Einstein Introduction

The Einstein API allows you to go into the power of AI and train deep learning models to recognize and classify images and sentiments of text. You can use pre-trained classifiers or train your own custom classifiers according to our requirement. For example, A government office asks users to upload the document like passport, unique… Continue reading Salesforce Einstein Introduction


Testing – Test the Einstein Model

  On this page, you can test your model. Copy model ID from your model and paste it in Model ID on this page. Your model should be successfully trained. Otherwise, you will not see prediction. Custom Models: Vision: You must give Model ID of the image model. You can do a prediction for URL image, Base… Continue reading Testing – Test the Einstein Model

Training – Create Model

Go to Dataset Detail page. Here click on Create Model button. It will open a new page asking for Model Name. Fill the following: 1. Model Name: Name of the model. Maximum length is 180 characters. 2. Epochs: Optional. The number of training iterations for the neural network. Valid values are 1–100 (For V2 it is… Continue reading Training – Create Model

Data Set – Detail Page

This page shows the detail of a Dataset. It also shows all the Labels of selected Dataset. You can see all Model related to Dataset by clicking on the View Models Button and also can create new model clicking by Create Model button. You can see Create Model button if your Dataset has been uploaded… Continue reading Data Set – Detail Page

Data Set – Create Dataset

This page allows creating Dataset for Vision and Language Einstein. You can go to this page by clicking on Create link on Dataset tab. Also, you can see button name as Create Dataset on Dataset list page. 1. BASIC INFORMATION: Fill the name of Dataset in Name field. 2. API SETUP: A. Dataset Type: Image: When… Continue reading Data Set – Create Dataset

Data Set – What is it?

What is DataSet? Data set is the collection of data to train the machine to predict. Let's understand this in the real world example. Assume that you have a room with 5 kinds of fruits in 5 buckets. (Apple, Banana, Grapes, Blackberry, Blueberry) Your each of bucket contains 20 quantity of food. Now we have… Continue reading Data Set – What is it?