## Trapezoidal Rule for Numerical Integration – Python Code and Tutorial

In this blog post, I will explain how to use the trapezoidal rule for numerical integration along with Python code and equations. The…

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# Category: Python

## Trapezoidal Rule for Numerical Integration – Python Code and Tutorial

## CrysX – CompChem File Converter [WEB APP]

## Basis Set Converter Web Application

## Microstructure Classification using Neural Networks – Streamlit App

## Handwritten digit recognition using CrysX-NN neural network trained on MNIST_Plus

## Handwritten digit recognition using CrysX – Neural Network library and Streamlit Web App

## Digit recognition App (Streamlit) trained on the MNIST_Plus dataset using PyTorch CNN model

## Streamlit App for Digit recognition trained on the MNIST dataset using PyTorch

## Mean Squared Error loss function and its gradient (derivative) for a batch of inputs [Python Code]

## Efficient implementation of Tanh activation function and its Derivative (gradient) in Python

In this blog post, I will explain how to use the trapezoidal rule for numerical integration along with Python code and equations. The…

Read MoreChemical File Format Converter The following is the Web Application built using Python, Open Babel, Py3Dmol and Streamlit that allows inter-conversion between various…

Read MoreThe following is the Web Application built using Python, BSE and Streamlit that allows inter-conversion between various basis set formats used by different…

Read MoreIn this post, I demonstrate a Streamlit app that I have created that can be used to classify microstructures of different types. I…

Read MoreIn the last post, I showcased an app based on a neural network, trained on the MNIST dataset using the CrysX-NN library. The…

Read MoreRecently, I wrote a blog post on creating a Streamlit app for recognizing handwritten digits using a convolutional neural network model with the…

Read MoreIn my previous blog post, I shared with you a streamlit app that recognizes handwritten digits entered by the user through mouse/touch input.…

Read MoreRecently, I learned how to program deep and convolutional neural networks using various frameworks like PyTorch and TensorFlow-Keras. Here is an application of…

Read MoreIn this post, I show you how to implement the Mean Squared Error (MSE) Loss/Cost function as well as its derivative for Neural…

Read MoreThe mathematical definition of the Tanh activation function is and its derivative is defined as The Tanh function and its derivative for a…

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