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Author: Manas Sharma

Ph.D. researcher at Friedrich-Schiller University Jena, Germany. I'm a physicist specializing in computational material science. 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.

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

Machine Learning PythonDec 30, 2021Dec 31, 2021 Manas Sharma

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

Machine Learning PythonDec 30, 2021Dec 30, 2021 Manas Sharma

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

Machine Learning PythonDec 30, 2021Dec 30, 2021 Manas Sharma

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

Machine Learning PythonDec 27, 2021Jan 17, 2022 Manas Sharma

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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softmax activation function machine learning neural network gradient implementation python

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

Machine Learning PythonDec 27, 2021Dec 29, 2021 Manas Sharma

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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sigmoid activation function machine learning neural networks

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

Machine Learning PythonDec 24, 2021Dec 30, 2021 Manas Sharma

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

Molecule DatabaseDec 5, 2021 Manas Sharma

Manas SharmaPh.D. researcher at Friedrich-Schiller University Jena, Germany. I’m a physicist specializing in computational material science. I write efficient codes for simulating light-matter…

Read More

benzaldehyde 3D Visualization

Molecule DatabaseDec 4, 2021 Manas Sharma

Manas SharmaPh.D. researcher at Friedrich-Schiller University Jena, Germany. I’m a physicist specializing in computational material science. I write efficient codes for simulating light-matter…

Read More

borane 3D Visualization

Molecule DatabaseDec 2, 2021 Manas Sharma

Manas SharmaPh.D. researcher at Friedrich-Schiller University Jena, Germany. I’m a physicist specializing in computational material science. I write efficient codes for simulating light-matter…

Read More

ammonia 3D Visualization

Molecule DatabaseDec 2, 2021 Manas Sharma

Manas SharmaPh.D. researcher at Friedrich-Schiller University Jena, Germany. I’m a physicist specializing in computational material science. I write efficient codes for simulating light-matter…

Read More

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