dept:Computer Engineering - The Engineering Projects

Introduction to Gated Recurrent Unit

03 - Dec - 2023

ayeshayounas

Deep Learning

0 Comments

63.8K Views

Introduction to Gated Recurrent Unit, What is Gated Recurrent Unit, Gated Recurrent Unit Working, GRU Features, GRU Applications

Hello! I hope you are doing great. Today, we will talk about another modern neural network named gated recurrent units. It is a type of recurrent neural network (RNN) architecture but is designed to deal with some limitations of the architecture so it is a better version of these. We know that modern neural networks are designed to deal with the current applications of real life; therefore, understanding these networks has a great scope. There is a relationship between gated recurrent units and Long Short-Term Memory (LSTM) networks, which has also been discussed before in this series. Hence, ...

Introduction to Gated Recurrent Unit

What is Gated Recurrent Unit

Gated Recurrent Unit Working

GRU Features

GRU Applications

Deep Residual Learning for Image Recognition

03 - Dec - 2023

ayeshayounas

Deep Learning

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63.8K Views

Deep Residual Learning for Image Recognition, Deep Residual Learning, Deep Residual Learning working, Deep Residual Learning applications

Hey readers! Welcome to the next lecture on neural networks. We are learning about modern neural networks, and today we will see the details of residual networks. Deep learning has provided us with remarkable achievements in recent years, and residual learning is one such output. This neural network has revolutionized the design and training process of the deep neural network for image recognition. This is the reason why we will discuss the introduction and all the content regarding the changes these network has made in the field of computer vision.In this article, we will discuss the basic in ...

Deep Residual Learning for Image Recognition

Deep Residual Learning

Deep Residual Learning working

Deep Residual Learning applications

Transformer Neutral Network in Deep Learning

03 - Dec - 2023

ayeshayounas

Deep Learning

0 Comments

63.8K Views

Transformer Neutral Network in Deep Learning, Transformer Neutral Network working, Transformer Neutral Network applications, Transformer Neutral Network in Deep Learning definition

Deep learning is an important subfield of artificial intelligence and we have been working on the modern neural network in our previous tutorials. Today, we are learning the transformer architecture neural network in deep learning. These neural networks have been gaining popularity because they have been used in multiple fields of artificial intelligence and related applications. In this article, we will discuss the basic introduction of TNNs and will learn about the encoder and decoders in the structure of TNNs. After that, we will see some important features and applications of this neu ...

Transformer Neutral Network in Deep Learning

Transformer Neutral Network working

Transformer Neutral Network applications

Transformer Neutral Network in Deep Learning definition

Introduction to Generative Adversarial Networks

03 - Dec - 2023

ayeshayounas

Deep Learning

0 Comments

63.8K Views

Generative Adversarial Networks, Introduction to Generative Adversarial Networks, What is GANs? Working of GANs, Applications of GANs

Deep learning has applications in multiple industries, and this has made it an important and attractive topic for researchers. The interest of researchers has resulted in multiple types of neural networks we have been discussing in this series so far. Today, we are talking about generative advertising neural networks (GAN). This algorithm performs the unsupervised learning task and is used in different fields of life such as education, medicine, computer vision, natural language processing (NLP), etc. In this article, we will discuss the basic introduction of GAN and will see the working mec ...

Generative Adversarial Networks

Introduction to Generative Adversarial Networks

What is GANs? Working of GANs

Applications of GANs

Graph Neural Networks: Definition, Types, Applications

28 - Sep - 2023

ayeshayounas

Deep Learning

0 Comments

63.8K Views

Basic Structure of Graph Neural Networks, Graph Neural Networks, Graphs in neural networks, graph neural networks types

Hi readers! I hope you are doing great. We are learning about modern neural networks in deep learning, and in the previous lecture, we saw the capsule neural networks that work with the help of a group of neurons in the form of capsules. Today we will discuss the graph neural network in detail. Graph neural networks are one of the most basic and trending networks, and a lot of research has been done on them. As a result, there are multiple types of GNNs, and the architecture of these networks is a little bit more complex than the other networks. We will start the discussion with the introduct ...

Basic Structure of Graph Neural Networks

Graph Neural Networks

Graphs in neural networks

graph neural networks types

Capsule Neural Network: Definition, Features, Algorithms, Applications

28 - Sep - 2023

ayeshayounas

Deep Learning

0 Comments

63.8K Views

Basic Concepts of Capsule Neural Network, Capsule Neural Network, Capsule NN, Capsule Neural Network examples, Capsule Neural Network types

Hey pupil! Welcome to the next lecture on modern neural networks. I hope you are doing great. In the previous lecture, we saw the EffcientNet neural network, which is a convolutional Neural Network (CNN), and its properties. Today, we are talking about another CNN network called the capsule neural network, or CapsNets. These networks were introduced to provide the capsulation in CNNs to provide better functionalities.  In this article, we will start with the introduction of the capsule neural network. After that, we will compare these with the traditional convolutional neural networks an ...

Basic Concepts of Capsule Neural Network

Capsule Neural Network

Capsule NN

Capsule Neural Network examples

Capsule Neural Network types