In this article, we will develop an intuition for the Cross Entropy loss function that is often used for AI/ML Classification tasks during model training.
Here is the link to the article:
Enjoy π !!!
Articles | Notes | Tips | Tutorials
In this article, we will develop an intuition for the Cross Entropy loss function that is often used for AI/ML Classification tasks during model training.
Here is the link to the article:
Enjoy π !!!
Updated: 05/30/2025
In this article, we will show the steps to integrate the Nvidia container toolkit with the Docker environment in order to enable any docker container to have access to the underlying system GPU for AI/ML jobs.
Here is the link to the article:
How-to Enable Nvidia GPU for Docker
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In this next part of the Deep Learning series, we will explain how a Generative Adversarial Network (GAN) model works and use PyTorch for a practical demonstration to generate synthetic (fake) images of digits that mimic the real images from the MNIST dataset.
Here is the link to the article on Deep Learning using GAN:
Deep Learning – Generative Adversarial Network
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In this next part of the Deep Learning series, we will explain how a Convolutional Neural Network (CNN) model works and use PyTorch for a practical demonstration to classify images of digits using the MNIST dataset.
Here is the link to the article on Deep Learning using CNN:
Deep Learning – Convolutional Neural Network
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Posted my next article on LinkedIn and here is the link:
Hope is useful for others !!!
In this primer, we will provide an overview of the LocalAI platform as well as get our hands dirty using the command-line as well as the Python SDK.
Here is the link to the article on LocalAI:
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In this article, we will understand the basics of model Quantization which allows one to shrink the size of any pre-trained LLM model.
Here is the link to the article on Quantization:
Β Understanding Model Quantization
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In this primer, we will provide an overview of the Hugging Face platform as well as get our hands dirty with some code samples on the various text processing tasks.
Here is the link to the article on Hugging Face:
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Posted my next article on LinkedIn and here is the link:
Unpacking the Mystery behind Deep Learning !!!
Hope is useful for others !!!
In this part of the Deep Learning series, we will dive deep into the different blocks of the Transformer model and unravel them to get a better grasp of their internals.
Here is the link to the article on understanding Transformers:
Deep Learning – Understanding the Transformer Models
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