Autoencoders as Masters of Data Compression

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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 ...

Echo State Networks (ESNs) | Working, Algorithms & Applications

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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 ...

Vision Transformer Neural Network Architecture

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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 ...

Spiking Neural Network (SNN) and its Applications

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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 ...

What is a Double Deep Q Network?

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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 ...

Deep Q Networks (DQN) Reinforcement Learning

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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 ...
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