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How to save both ‘logs’ and ‘print’ statement outputs in the same file using Python?
How to save both ‘logs’ and ‘print’ statement outputs in the same file using Python?
While doing one experiment, I needed to save the logs and the print statement outputs, in the same log file. Both the logs and print…
Siladittya Manna
Apr 11
Automating Ablation Studies of Deep Learning Models using Batch Script
Automating Ablation Studies of Deep Learning Models using Batch Script
In this article, we will look at a short example of how we can automate running ablation study experiments on our deep learning models…
Siladittya Manna
Oct 9, 2023
Changing the Python version on Google Colab
Changing the Python version on Google Colab
and associated issues
Siladittya Manna
Sep 27, 2023
Hosting Machine Learning Model Demos with Hugging Face Spaces and Streamlit
Hosting Machine Learning Model Demos with Hugging Face Spaces and Streamlit
This article will describe the steps required to set up a demo for a machine / deep learning model on Hugging Face Spaces using Streamlit.
Siladittya Manna
Sep 14, 2023
The Art of Loading Custom Objects and Functions in Keras
The Art of Loading Custom Objects and Functions in Keras
in the simplest possible way
Siladittya Manna
Aug 28, 2023
Weighted Categorical Cross-Entropy Loss in Keras
Weighted Categorical Cross-Entropy Loss in Keras
In this article, we will be looking at the implementation of the Weighted Categorical Cross-Entropy loss.
Siladittya Manna
Aug 28, 2023
Weighted Binary Cross-Entropy Loss in Keras
Weighted Binary Cross-Entropy Loss in Keras
While there are several implementations to calculate weighted binary and cross-entropy losses widely available on the web, in this article…
Siladittya Manna
Aug 28, 2023
An elegant way to split a Dataset into Train, Validation, and Test splits in Batch Script
An elegant way to split a Dataset into Train, Validation, and Test splits in Batch Script
Researchers and Engineers alike, often use train_test_split from scikit-learn or pre-defined splits to split a dataset into train…
Siladittya Manna
Jun 9, 2023
An elegant way to split a Dataset into Train, Validation, and Test splits in Shell Script
An elegant way to split a Dataset into Train, Validation, and Test splits in Shell Script
Researchers and Engineers alike, often use train_test_split from scikit-learn library or rely on existing split datasets for their use.
Siladittya Manna
Jun 9, 2023
QR Factorization: Gram-Schmidt Algorithm
QR Factorization: Gram-Schmidt Algorithm
QR Factorization is a method to decompose any matrix M with linearly independent columns, as the product of two matrices Q and R, where Q…
Siladittya Manna
Nov 25, 2022
How to get Model Summary in PyTorch
How to get Model Summary in PyTorch
Model summary: number of trainable and non-trainable parameters, layer names, kernel size, all inclusive.
Siladittya Manna
Aug 25, 2022
Installing PyTorch XLA in Google Colab without errors!!
Installing PyTorch XLA in Google Colab without errors!!
-
Siladittya Manna
Sep 11, 2021
Creating a TF Dataset using a Data Generator
Creating a TF Dataset using a Data Generator
tf.data.Dataset
Siladittya Manna
Aug 21, 2021
GradCAM in PyTorch
GradCAM in PyTorch
Implementing GradCAM in PyTorch
Siladittya Manna
Jul 31, 2021
SimCLR in PyTorch
SimCLR in PyTorch
USING JUPYTER NOTEBOOK
Siladittya Manna
Jun 30, 2021
Statistical Learning Theory Part 4
Statistical Learning Theory Part 4
THE PROBLEM OF PATTERN RECOGNITION
Siladittya Manna
Jun 21, 2021
Using forward_hooks to Extract Intermediate Layer Outputs from a Pre-trained ResNet Model in…
Using forward_hooks to Extract Intermediate Layer Outputs from a Pre-trained ResNet Model in…
Here we are again with the fourth article in the “Feature Extraction” series. This article will describe another method (and possibly the…
Siladittya Manna
Jan 9, 2021
Extracting Features from an Intermediate Layer of a Pretrained VGG-Net in PyTorch
Extracting Features from an Intermediate Layer of a Pretrained VGG-Net in PyTorch
This article is the third one in the “Feature Extraction” series. The last two articles were about extracting features from intermediate…
Siladittya Manna
Jan 6, 2021
Extracting Features from an Intermediate Layer of a Pretrained ResNet Model in PyTorch (Easy way)
Extracting Features from an Intermediate Layer of a Pretrained ResNet Model in PyTorch (Easy way)
In the previous article, we looked at a method to extract features from an intermediate layer of a pre-trained model in PyTorch by…
Siladittya Manna
Jan 5, 2021
Multilayer Perceptron model vs CNN
Multilayer Perceptron model vs CNN
Multilayer perceptrons are sometimes colloquially referred to as “vanilla” neural networks, especially when they have a single hidden…
Saumyadeepta Sen
Aug 4, 2020
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