Deep Learning

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Naveen πŸ“… June 13, 2023

Day 1: Introduction to Deep Learning: Understanding the Basics

Welcome to this Deep Learning Course! Today is the beginning of our course and in this first article we will...

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Naveen πŸ“… May 15, 2023

Mastering Keras: Best Practices for Optimizing Your Python Models

The popularity of Keras, a Python library for building and training deep learning models, has increased as deep learning evolves....

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Naveen πŸ“… May 14, 2023

Essential Keras Functions for Python Programmers

Python developers are likely to be familiar with constructing neural networks for deep learning applications. Although Python is a potent...

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Naveen πŸ“… May 9, 2023

PyTorch vs. TensorFlow: A Comprehensive Comparison

As the world of artificial intelligence (AI) continues to grow, so does the demand for deep learning frameworks. PyTorch and...

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10 Common Data Science Interview Questions and How to Answer Them?
Naveen πŸ“… May 3, 2023

10 Common Data Science Interview Questions and How to Answer Them?

Data science has become a very competitive field and it is important to prepare for data science interviews if you...

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Naveen πŸ“… April 30, 2023

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 πŸ“… April 29, 2023

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 πŸ“… April 28, 2023

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 πŸ“… April 21, 2023

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 πŸ“… December 6, 2022

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 πŸ“… November 26, 2022

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 πŸ“… November 26, 2022

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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