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deep learning

What is Deep Learning Great Learning

Deep Learning Tutorial: What it Means and what’s the role of Deep Learning

What is Deep Learning? Why is Deep Learning important? How does Deep Learning work? How do Neurons Work? What is the difference between Deep Learning and Machine Learning? How to get started with Deep Learning? Top Open Source Deep Learning Tools Commonly-Used Deep Learning Applications What is Deep Learning? Deep Learning is a subset of […]

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machine learning vs deep learning

What is the Difference Between Machine Learning and Deep Learning

Machine Learning and Deep Learning are concepts that are often overlapping. There can be a slight confusion between the terms, and thus, let us look at Machine learning vs Deep learning, and understand the similarities and differences between the same. Machine learning uses a set of algorithms to analyse and interpret data, learn from it, and based on

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song generator

Song Generator

Introduction to Artificial Intelligence What is NLP? What is Machine Learning? What is Deep learning? Relation between AI ML DL and NLP  Idea Behind Lyrics and Music generator Algorithms used Python Walkthrough  Introduction to Artificial Intelligence Could anyone in the 19th century would have imagined we would have cellphones to talk with our near and

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data augmentation

Understanding Data Augmentation | What is Data Augmentation & how it works?

Data Augmentation: Introduction Numerical Data Augmentation Image Augmentation for Computer Vision Applications Adversarial Training based Augmentation GAN based Augmentation Neural Style Transfer based Augmentation Text Augmentation Techniques for Natural Language Processing Contributed by: Arun K LinkedIn Profile: https://www.linkedin.com/in/arunsme/ Introduction to Data Augmentation The prediction accuracy of the Supervised Deep Learning models is largely reliant on

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Neural network

What is Recurrent Neural Network | Introduction of Recurrent Neural Network

Before starting with neural networks, let’s have a look at the basics of neural networks. Neural networks are considered as the most powerful and widely used algorithms. It is the subfield of machine learning which is called deep learning. For the beginners who just start their journey with neural networks, for them maybe neural networks

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backpropagation

Introduction to Backpropagation Algorithm, Definition & Case Study

In typical programming, we input data, perform processing logic and receive an output. What if the output data can, in some way, influence the processing logic? That is what backpropagation algorithm is about. It positively influences the previous module to improve accuracy and efficiency. \ Let us delve deeper. Neural network A neural network is

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GAN

Introduction to Generative Adversarial Networks (GANs)

Supervised vs Unsupervised learning What are Generative Models? What are GANs? Where are GANs used? Tips for training GANs Generating MNIST Handwritten Digit  Supervised vs Unsupervised Learning In Supervised Learning, we train the machine using data that is well “labeled”. It means the data is already tagged with the correct answer. A supervised learning algorithm

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