Digit recognition App (Streamlit) trained on the MNIST_Plus dataset using PyTorch CNN model
In my previous blog post, I shared with you a streamlit app that recognizes handwritten digits entered by the user through mouse/touch input.…
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Author: Manas Sharma
I'm a physicist specializing in computational material science with a PhD in Physics from Friedrich-Schiller University Jena, Germany. I write efficient codes for simulating light-matter interactions at atomic scales. I like to develop Physics, DFT, and Machine Learning related apps and software from time to time. Can code in most of the popular languages. I like to share my knowledge in Physics and applications using this Blog and a YouTube channel.
Streamlit App for Digit recognition trained on the MNIST dataset using PyTorch
Recently, I learned how to program deep and convolutional neural networks using various frameworks like PyTorch and TensorFlow-Keras. Here is an application of…
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Mean Squared Error loss function and its gradient (derivative) for a batch of inputs [Python Code]
In this post, I show you how to implement the Mean Squared Error (MSE) Loss/Cost function as well as its derivative for Neural…
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Efficient implementation of Tanh activation function and its Derivative (gradient) in Python
The 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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Efficient implementation of Softplus activation function and its Derivative (gradient) in Python
The mathematical definition of the Softplus activation function is with the derivative defined as , which is actually the Sigmoid function. We have…
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Efficient implementation of Softmax activation function and its Derivative (jacobian) in Python
The mathematical definition of the Softmax activation function is with the derivative defined as The Softmax function and its derivative for a batch…
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Efficient implementation of Sigmoid activation function and its Derivative (gradient) in Python
The 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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Efficient implementation of ReLU activation function and its Derivative (gradient) in Python
The mathematical definition of the ReLU activation function is and its derivative is defined as The ReLU function and its derivative for a…
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chlorophyll 3D Visualization
Manas SharmaI’m a physicist specializing in computational material science with a PhD in Physics from Friedrich-Schiller University Jena, Germany. I write efficient codes…
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benzaldehyde 3D Visualization
Manas SharmaI’m a physicist specializing in computational material science with a PhD in Physics from Friedrich-Schiller University Jena, Germany. I write efficient codes…
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