deep learning
Naveen
📅 Last Updated: 08 Nov, 2025
Fine-Tuning BERT for 90%+ Accuracy in Text Classification
What are Pretrained Language Models? Pretrained Language Models (PLMs) are deep learning models trained on large corpus of text to understand...
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Rajesh
📅 Last Updated: 08 Nov, 2025
Mastering Reinforcement Learning: From Basics to Cutting-Edge Techniques
Topics in Reinforcement Learning (RL) explore how agents make their moves within environments to obtain the highest combined rewarding outcomes....
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Naveen
📅 Last Updated: 11 Nov, 2025
How to Become a Prompt Engineer in 2024
In this article, we will explore the role of prompt engineers in the field of AI technology. Prompt engineers play...
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Naveen
📅 Last Updated: 12 Dec, 2024
How to Create an Image Classification Model using Hugging Face in 5 Lines
In 2021, when it comes to natural language processing tasks, most people turn to Hugging Face for solutions. However, did...
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Naveen
📅 Last Updated: 12 Dec, 2024
Building a Classification Model with VGG19 for Image Recognition
Image classification is a fascinating field of machine learning that involves teaching a computer to recognize and categorize objects or...
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Naveen
📅 Last Updated: 12 Dec, 2024
Generating new MNIST digits in PyTorch using AutoEncoder
Are you curious about how machines can learn to understand and generate images? In this blog post, we’re going to...
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Naveen
📅 Last Updated: 12 Dec, 2024
Backpropagation in Neural Networks with an Examples
In this article, we will talk about the concept of backpropagation, which can be considered the building block of a...
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Naveen
📅 Last Updated: 12 Dec, 2024
Day 7 – What Are GANs? | Generative Adversarial Networks in Deep Learning
In this article, we will explore an important and popular deep learning neural network called Generative Adversarial Networks (GANs). GANs...
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Naveen
📅 Last Updated: 12 Dec, 2024
Day 6 – What is Loss Function in Deep Learning | Loss Function in Machine Learning | Loss Function Types
In this blog, we will cover the concept of a loss function and its significance in artificial neural networks. Loss...
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Naveen
📅 Last Updated: 12 Dec, 2024
LeNet-5 Architecture Explained | Introduction to LeNet-5 Architecture
LeNet-5 is a compact neural network comprising fundamental components of deep learning convolutional layers, pooling layers, and fully connected layers....
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Naveen
📅 Last Updated: 15 Dec, 2024
Alexnet Architecture Explained | Introduction to Alexnet Architecture
The introduction of AlexNet in 2012 has changed the image recognition field. Thousands of researchers and entrepreneurs were able to...
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Naveen
📅 Last Updated: 12 Dec, 2024
Sigmoid Activation Function in Detail Explained
When it comes to artificial neural networks, the Sigmoid activation function is a real superstar! It might sound like a...
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