Category: Deep Learning - The Engineering Projects

Autoencoders as Masters of Data Compression TEP , The Engineering Projects , Boxes

08 - Jan - 2024

xeohacker

Deep Learning

0 Comments

63.8K Views

Autoencoders as Masters of Data Compression, deep learning autoencoders

Hey readers! Welcome to the next episode of training on neural networks. We have been studying multiple modern neural networks and today we’ll talk about autoencoders. Along with data compression and feature extraction, autoencoders are extensively used in different fields. Today, we’ll understand the multiple features of these neural networks to understand their importance.In this tutorial, we’ll start learning with the introduction of autoencoders. After that, we’ll go through the basic concept to understand the features of autoencoders. We’ll also see the step by step by step process of aut ...

Autoencoders as Masters of Data Compression

deep learning autoencoders

Echo State Networks (ESNs) | Working, Algorithms & Applications TEP , The Engineering Projects , Boxes

05 - Jan - 2024

xeohacker

Deep Learning

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63.8K Views

Echo State Networks, ESN, ESN basics, ESN working, Echo State Networks working

Hello pupils! Welcome to the next section of neural network training. We have been studying modern neural networks in detail, and today we are moving towards the next neural network, which is the Echo State Network (ESN). It is a type of recurrent neural network and is famous because of its simplicity and effectiveness. In this tutorial, we’ll start learning with the basic introduction of echo state networks. After that, we’ll see the basic concepts that will help us to understand the work of these networks. Just after this, we’ll see the steps involved in setting the ESNs. In the end, we’ll ...

Echo State Networks

ESN

ESN basics

ESN working

Echo State Networks working

Vision Transformer Neural Network Architecture TEP , The Engineering Projects , Boxes

01 - Jan - 2024

xeohacker

Deep Learning

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63.8K Views

Vision Transformer Neural Network Architecture, Vision Transformer Neural Network Network

Hello learners! Welcome to the next episode of Neural Networks. Today, we are learning about a neural network architecture named Vision Transformer, or ViT. It is specially designed for image classification. Neural networks have been the trending topic in deep learning in the last decade and it seems that the studies and application of these networks are going to continue because they are now used even in daily life. The role of neural network architecture in this regard is important. In this session, we will start our study with the introduction of the Vision Transformer. We’ll see how it wo ...

Vision Transformer Neural Network Architecture

Vision Transformer Neural Network Network

Spiking Neural Network (SNN) and its Applications TEP , The Engineering Projects , Boxes

01 - Jan - 2024

xeohacker

Deep Learning

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63.8K Views

Spiking Neural Network (SNN), Spiking Neural Network (SNN) Applications, SNN working, snn applications

Hello pupils! Welcome to the next session of the neural network series. I hope you are doing good. In the previous part of this series, I showed the double deep Q networks and discussed their differences from the deep Q network to make things clear. Today, I am going to visit a very popular neural network with you. This is the spiking neural network that mimics the functionality of the biological neurons with the help of spikes. This is a different neural network than the traditional networks and you will see the details of each point. In this lecture, we’ll understand the introduction of th ...

Spiking Neural Network (SNN)

Spiking Neural Network (SNN) Applications

SNN working

snn applications

What is a Double Deep Q Network? TEP , The Engineering Projects , Boxes

01 - Jan - 2024

xeohacker

Deep Learning

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63.8K Views

What is a Double Deep Q Network, DQN neural network, DQN working

Hey pupils! Welcome to the next session on modern neural networks. We are studying the basic neural networks that are revolutionizing different domains of life. In the previous session, we read the Deep Q Networks (DQN) Reinforcement Learning (add link). There, the basic concepts and applications were discussed in detail. Today, we will move towards another neural network, which is an improvement in the deep Q network and is named the double deep Q network.  In this article, we will point towards the basic workings of DQN as well so I recommend you read the deep Q networks if you don’t h ...

What is a Double Deep Q Network

DQN neural network

DQN working

Deep Q Networks (DQN) Reinforcement Learning TEP , The Engineering Projects , Boxes

01 - Jan - 2024

xeohacker

Deep Learning

0 Comments

63.8K Views

Deep Q Networks (DQN) Reinforcement Learning, dqn neural network, deep Q basics, deep Q working

Hello readers! Welcome to the next episode of the Deep Learning Algorithm. We are studying modern neural networks and today we will see the details of a reinforcement learning algorithm named Deep Q networks or, in short, DQN. This is one of the popular modern neural networks that combines deep learning and the principles of Q learning and provides complex control policies.Today, we are studying the basic introduction of deep Q Networks. For this, we have to understand the basic concepts that are reinforcement learning and Q learning. After that, we’ll understand how these two collectively are ...

Deep Q Networks (DQN) Reinforcement Learning

dqn neural network

deep Q basics

deep Q working

Introduction to Gated Recurrent Unit TEP , The Engineering Projects , Boxes

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 TEP , The Engineering Projects , Boxes

03 - Dec - 2023

ayeshayounas

Deep Learning

0 Comments

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 TEP , The Engineering Projects , Boxes

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 TEP , The Engineering Projects , Boxes

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