Simple money manager android app especially for those who wanna keep all data offline . It supports speech recognition i.e. to track income and expenses with your voice.
Online editor for Web Guys to generate code, to format & convert data like JSON formatter, JSON Schema generator, export to CSV and HTML format ... etc quickly.
Do you want to validate JSON response of your application REST APIs? For a large JSON, it is easy to use JSON schema for validation. In this post, we will see how to validate JSON response with JSON Schema in Postman using ajv validator. BrijPad – Online tool allows you to generate and validate JSON Schema. We will use it to generate Schema.
Read Also: Inspect JSON Easily with BrijPad
It explains How to use different signs (+,> and ~) in CSS selector and their differences. Before starting, let us take a sample code to understand the signs.
You want to copy HTML dropdownlist(combobox) options from a web-page. You do right click on dropdown list. Oh my God !!! There is no option to do it. This article explains how to extract dropdownlist options using Notepad++.
d:\>nvm install 4.7.2 d:\>nvm use 4.7.2 d:\>node --version
and if you get following message
‘node’ is not recognized as an internal or external command, operable program or batch file.
then read this post to troubleshoot the issue.
Welcome to Hisaab v1.9.6. There are a number of exciting updates in this version that I hope you will like, some of key highlights:
- Auto-suggestion in Quick items
- Multi-selection to save quick entries
- Select All/Clear All toggle button
- Supports multiple languages(Beta)
- Less Ads
- Updated Calculator
- Improved UI
Today, I am excited to introduce Hisaab (Daily Expense Tracker) Android app which supports speech recognition for quick input and works OFFLINE also. It will help you to note your incomes/expenses and calculate the total amount quickly. You can classify income and expenses by categories and payment methods. Also, you can search and view different reports.
This article explains a breif introduction of CNN and about how to build a model to classify images of clothing (like T-shirt, Trouser) using it in TensorFlow. If you are beginner, I would recommend to read following posts first:
This article will explain brief summary of linear regression and how to implement it using TensorFlow 2. If you are beginner, I would recommend to read following posts first:
– Setup Deep Learning environment: Tensorflow, Jupyter Notebook and VSCode
– Tensorflow 2: Build Your First Machine Learning Model with tf.keras
This article explains how to build a neural network and how to train and evaluate it with TensorFlow 2. It is assumed you know basics of machine & deep learning and want to build model in Tensorflow environment. We are going to use tf.keras APIs which allows to design, fit, evaluate, and use deep learning models to make predictions in just a few lines of code.