Microstructure Classification using Neural Networks – Streamlit App
In this post, I demonstrate a Streamlit app that I have created that can be used to classify microstructures of different types. I…
Read MorePosts on machine learning-related topics like deep learning, neural networks, regression, etc.
In 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…
Read MoreThe mathematical definition of the Softplus activation function is with the derivative defined as , which is actually the Sigmoid function. We have…
Read MoreThe mathematical definition of the Softmax activation function is with the derivative defined as The Softmax function and its derivative for a batch…
Read MoreThe mathematical definition of the Sigmoid activation function is and its derivative is The Sigmoid function and its derivative for a batch of…
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