177 Result(s)
within
Video Segment
Yi** **
English
Artificial Intelligence
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ANN Overview
This lecture brings out the importance of ANN by presenting several ANN-based AI models which could never be developed using GOFAI. The lecture also gives you a quick overview of ANN technology and how a trivi...
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Consolidation
This segment provides the consolidation of your entire learning in this course.
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ANN Terminology
You will learn ANN terminology in this lesson. I will learn activation, optimization and loss functions. You will understand back propagation and the concept of vanishing and exploding gradients.
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GAN
This lesson teaches you GAN, Generative Adversarial Network. GAN is used for creating images. You will fully learn how GAN creates images which cannot be said to be fake. You will also understand the variants ...
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Pre-trained Models
In this lesson, you will learn about many pre-trained models both in text and image domains. You will learn many NLP models, starting from initial Word2Vec to the latest LLMs, Transformer based architectures. ...
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Computer Vision Applications
This lesson describes a real world project for classifying images. You will learn to create your own customized CNN architecture and also use the pre-trained models for classification. I will show you how to i...
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Network Architectures
This lecture briefs several types of network architectures like RNN, RBF, CNN, LSTM, and Transformers. It will introduce you to the pre-trained models such as YOLO and LLMs like GPT and ChatGPT.
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CNN
In this lecture, you will learn an important architecture called CNN used in develo** AI models based on image datasets.
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RNN & LSTM
What role CNN & GAN played in develo** the field of computer vision, a similar role is played by RNN and LSTM in develo** the field of Natural Language Processing, NLP. Recurrent Neural Networks (RNN) is a...
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NLP Applications
In this lecture, I will discuss a real project for classifying the news headlines from a huge dataset of 93,000+ news items. I will discuss the text processing first and then three approaches based on transfor...
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A Quick Solution - MLaaS
This video introduces you to the recent innovation in the field of data science and that is ML as a Service, followed by a quick introduction to the instructor and how he is perfectly poised to deliver this co...
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Do It Yourself
This video tells you how your approach of classical ML development depends on your data size and type.
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First Things First
This video tells you how to make your data, be it numeric, text or image, machine understable. It also describes the tools available for data visualization to explore your dataset.
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Centroid-based Clustering
In this video, you will learn centroid-based clustering. The K-means, K-medoids, K-medians, and K-means++ algorithms fall under this category.
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Mobile Robot Hardware
This video discusses the hardware components of mobile robots, including drive mechanics, controllers, sensors and the overall system design.
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Less Efforts with ANN
This video describes fully what all you need in building your own ANN network.
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Classical Algorithms Overview
This video gives you a birds-view on 1000+ classical algorithms available in the market. It brings out regression, classical algorithms and also bagging and boosting techniques.
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Distribution-based Clustering
This video covers the distribution-based clustering, which is based on the statistical distribution models. Objects belonging to the same distribution form a cluster. This type of distribution is good at captu...
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Robot Simulation: Concept, Setup
This video segment explains the concept of robot simulation and gives an introduction to the EyeSim simulation system.
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Mazes: Exploration
This video segment introduces mazes and their simulation environment format. Iterative (left-hand rule) and recursive algorithms for maze exploration are shown.
