deep learning
Naveen
📅 Last Updated: 16 Nov, 2025
10 Essential Python Libraries for Data Science in 2023
Data Science is a constantly evolving field, and with freshly technologies emerging, it’s important to keep up with the latest...
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Naveen
📅 Last Updated: 12 Dec, 2024
10 Tips for Building Machine Learning Models for TensorFlow
Building a machine learning model using TensorFlow can be a daunting task, but it doesn’t have to be. Here are...
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Naveen
📅 Last Updated: 12 Dec, 2024
10 Tips for Building Machine Learning Models with PyTorch
Machine learning is a rapidly growing field, and PyTorch is one of the most popular frameworks for building machine learning...
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Naveen
📅 Last Updated: 12 Dec, 2024
How to use Generative Adversarial Networks in Machine Learning?
Generative Adversarial Networks (GANs) are a type of simple machine learning algorithmic rule that has gained significant attention in recent...
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Naveen
📅 Last Updated: 12 Dec, 2024
10 Tips for Training Deep Learning Models
Deep learning models have made significant impact in fields ranging from computer vision to natural language processing. However, training these...
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Naveen
📅 Last Updated: 12 Dec, 2024
3 Important Neural Network Architectures Explained
1. Perceptron The perceptron is the most basic of all neural networks, being a fundamental building block of more complex...
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Naveen
📅 Last Updated: 12 Dec, 2024
Important Deep learning Concept Explained Part – 2
Converge Algorithm that converges will eventually reach an optimal answer, even if very slowly. An algorithm that doesn’t converge may...
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Naveen
📅 Last Updated: 12 Dec, 2024
Important Deep learning Concept Explained Part – 1
Neuron Node is a NN, typically taking in multiple input values and generating one output value by applying an activation...
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Naveen
📅 Last Updated: 12 Dec, 2024
Top 8 Deep Learning Algorithms
Convolutional Neural Networks CNN’s popularly known as ConvNets majority consists of several layers and are specifically used for image processing...
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Naveen
📅 Last Updated: 21 Apr, 2025
Loss Functions and optimizers and its type?
With modelling, there’s a particular goal that the model needs to achieve. It’s just as important to achieve the best...
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Naveen
📅 Last Updated: 12 Dec, 2024
Top 40 Data Science Interview Questions and Answers
1 – What is F1 score? F1 score is a measure of the accuracy of a model. It is defined...
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Naveen
📅 Last Updated: 12 Dec, 2024
Deep Learning interview questions Part -2
1 – What are autoencoders? Explain the different layers of autoencoders. Autoencoders are neural networks that are trained to reconstruct...
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