Author: ayeshayounas - The Engineering Projects

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

Graph Neural Networks: Definition, Types, Applications TEP , The Engineering Projects , Boxes

28 - Sep - 2023

ayeshayounas

Deep Learning

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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 TEP , The Engineering Projects , Boxes

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

EfficientNet Neural Network: Definition, Working, Features TEP , The Engineering Projects , Boxes

22 - Sep - 2023

ayeshayounas

Deep Learning

0 Comments

63.8K Views

EfficientNet Neural Network, EfficientNet Neural Network working, EfficientNet working, EfficientNet features, EfficientNet deep learning, EfficientNet features

Hi learners! I hope you are having a good day. In the previous lecture, we saw Kohonen’s neural network, which is a modern type of neural network. We know that modern neural networks are playing a crucial role in maintaining the workings of multiple industries at a higher level. Today we are talking about another neural network named EfficientNet. It is not only a single neural network but a set of different networks that work alike and have the same principles but have their own specialized workings as well. EfficentNet is providing groundbreaking innovations in the complex fields of deep le ...

EfficientNet Neural Network

EfficientNet Neural Network working

EfficientNet working

EfficientNet features

EfficientNet deep learning

EfficientNet features

Kohonen’s Self-Organizing Neural Network TEP , The Engineering Projects , Boxes

22 - Sep - 2023

ayeshayounas

Deep Learning

0 Comments

63.8K Views

Kohonen’s Self organizing Neural Network, Kohonen neurla network, Kohonen’s Neural Network, Kohonen’s maps

Hi there! I hope you are having a great day. The success of the field of deep learning is due to its complex and advanced neural networks. These networks can be broadly divided into traditional and modern neural networks. We have seen the details of traditional neural networks, and in the previous session, the basic introduction of modern neural networks and the details of their features were discussed. Today, we will talk about one of the most famous modern neural networks, the Kohonen Self-Organized Neural Network.  Modern neural networks are more organized and developed than tradition ...

Kohonen’s Self organizing Neural Network

Kohonen neurla network

Kohonen’s Neural Network

Kohonen’s maps

9 Best Practices For Efficient & Seamless Python-based Web Scraping TEP , The Engineering Projects , Boxes

14 - Sep - 2023

ayeshayounas

Python

0 Comments

63.8K Views

9 Best Practices For Efficient, Seamless Python based Web Scraping

Web scraping is an invaluable skill in today's data-driven world. However, it must be performed responsibly and efficiently for optimal results. Here are our top 9 best practices that promise smooth execution of your upcoming web scraping projects. Setting the Stage: Understanding Basic Rules of Python-based Web Scraping <img src="https://images.theengineeringprojects.com/image/main/2023/09/9-best-practices-for-efficient-seamless-python-based-web-scraping-1.jpg" alt="9 Best Practices For Efficient, Seamless Python based Web Scraping" class="alignCenter" width="512 ...

9 Best Practices For Efficient

Seamless Python based Web Scraping

Slicing of Sequences in Python TEP , The Engineering Projects , Boxes

03 - Jul - 2023

ayeshayounas

Python

0 Comments

63.8K Views

Slicing of Sequences in Python, python sequence, sequence in python, slice sequence python, python sequence slice

Hey learners! Welcome to the following lecture on Python, where all the examples are practically explained with the help of the Jupyter notebook. We have been working with the data types for a long time, and now we know all the basics about them. There are certain concepts that are applicable to almost all sequences, but there are some rules for performing this function. Python has many concepts that are unique and simple, and if we talk about the slicing of the data type, other high-level languages such as C++ have the same concept, but Python gives the easiest way to do so. How we will work ...

Slicing of Sequences in Python

python sequence

sequence in python

slice sequence python

python sequence slice