Series

Deep Learning Unplugged

This series explains deep learning concepts in the simplest way possible. It aims to share hard-earned knowledge in an accessible way. Whether you're a beginner or an expert, it provides a clear, practical guide to mastering AI complexities.

Articles in this series

How to Create Custom Layers in TensorFlow?

Jul 22, 20244 min read7 views

In TensorFlow, layers are the fundamental building blocks for creating machine learning models. While TensorFlow offers a wide variety of ready-to-use...

How to Create Custom Layers in TensorFlow?

Mastering Binary Classification with Pure TensorFlow: An In-Depth Step-by-Step Guide

Jul 14, 20243 min read17 views

In this blog post, we will dive into the world of binary classification using TensorFlow, covering essential concepts like variables, operations,...

Mastering Binary Classification with Pure TensorFlow: An In-Depth Step-by-Step Guide

Gradients: The Building Blocks of Backpropagation in TensorFlow

Jul 6, 20241 min read10 views

In a neural network, backpropagation is essential for error minimization. It involves calculating the partial derivatives, or gradients, of the loss...

Gradients: The Building Blocks of Backpropagation in TensorFlow

🔍 𝐔𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐧𝐬𝐨𝐫𝐅𝐥𝐨𝐰 𝐕𝐚𝐫𝐢𝐚𝐛𝐥𝐞𝐬: 𝐀 𝐐𝐮𝐢𝐜𝐤 𝐆𝐮𝐢𝐝𝐞 🔍

Jul 5, 20241 min read7 views

Have you ever tried to reassign values in a TensorFlow tensor like you would in NumPy, only to hit the frustrating "EagerTensor object does not...

🔍 𝐔𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐧𝐬𝐨𝐫𝐅𝐥𝐨𝐰 𝐕𝐚𝐫𝐢𝐚𝐛𝐥𝐞𝐬: 𝐀 𝐐𝐮𝐢𝐜𝐤 𝐆𝐮𝐢𝐝𝐞 🔍

Einstein summation or einsum

Apr 15, 20241 min read10 views

So today I was studying the paper dEFEND: Explainable Fake News Detection and their code, where there was a line using einsum, short for Einstein...