Feature Extraction Courses and Certifications

NPTEL;  IIT Kharagpur

Pattern Recognition and Application

This course covers feature extraction techniques and the representation of patterns in feature space. Measure of similarity between two patterns. Statistical, nonparametric and neural network techniques for pattern recognition have been discussed in this…

• YouTube
• 1 day 13 hours
• On-Demand
• Free Video

How Fair are Foundation Models? Exploring the Role of Covariate Bias in Histopathology

Explore fairness challenges in foundation models for histopathology, examining scanner-dependent variability and covariate bias through controlled dataset analysis.

• YouTube
• 49 minutes
• On-Demand
• Free Video

Bag of Words Model for Image Classification - Lecture 16

Explore bag-of-features for image classification, including feature extraction, quantization, and spatial pyramid matching. Learn about datasets and applications in scene and action recognition.

• YouTube
• 52 minutes
• On-Demand
• Free Video

Hough Transform for Line and Shape Detection - Lecture 18

Learn about the Hough Transform technique for detecting lines and shapes in images, including its algorithm, applications, and variations like Generalized Hough Transform.

• YouTube
• 48 minutes
• On-Demand
• Free Video

Computer Vision - Fall 2021

Explore computer vision fundamentals from linear algebra to neural networks, covering image filtering, edge detection, CNNs, PyTorch, object detection, and segmentation techniques.

• YouTube
• 1 day 4 hours 49 minutes
• On-Demand
• Free Video

Yannic Kilcher

CURL - Contrastive Unsupervised Representations for Reinforcement Learning

Explore how contrastive learning enhances reinforcement learning, improving performance in complex tasks using high-level features extracted from raw pixels.

• YouTube
• 29 minutes
• On-Demand
• Free Video

Alexander Amini;  MIT

Convolutional Neural Networks

Explore convolutional neural networks for computer vision, covering feature extraction, convolution operations, and applications in autonomous navigation and medical imaging.

• YouTube
• 49 minutes
• On-Demand
• Free Video

DigitalSreeni

Pretrained CNN Features for Semantic Segmentation Using Random Forest

Explore semantic segmentation using VGG16 features and Random Forest, offering improved results for limited training data compared to U-net.

• YouTube
• 22 minutes
• On-Demand
• Free Video

Aladdin Persson

TensorFlow Tutorial - Neural Networks with Sequential and Functional API

Learn to build neural networks in TensorFlow 2.0 using Keras Sequential and Functional API. Covers model creation, layer feature extraction, and model summaries with hands-on MNIST dataset examples.

• YouTube
• 21 minutes
• On-Demand
• Free Video

Krish Naik

Machine Learning Model Retraining Approach - Incremental and Continuous Model Training

Explore incremental machine learning model training for continuous updates, addressing model drift and improving performance over time.

• YouTube
• 31 minutes
• On-Demand
• Free Video

Wolfram

Zero to AI in 60 Minutes - Machine Learning with Wolfram Language

Master machine learning fundamentals in Wolfram Language through classification, prediction, neural networks, and deployment techniques with practical examples across diverse subjects.

• YouTube
• 1 hour 14 minutes
• On-Demand
• Free Video

【Pythonで学ぶ】OpenCVでの画像処理入門

2503 ratings at Udemy

OpenCVの導入・画像の基礎知識からエッジの検出・特徴抽出、特徴追跡など様々な画像処理を紹介。実践力強化のため、パーティクルフィルターも原理を理解した後、自力で実装します。

• Udemy
• 5 hours 58 minutes
• On-Demand
• Paid Course

Association for Computing Machinery (ACM)

Deep Learning for Sequences in Quantitative Finance

1 review

Overview of deep learning sequence methods in quantitative finance, covering feature extraction, return forecasting, portfolio allocation, and trading execution. Explores applications and challenges in the investment process.

• YouTube
• 1 hour
• On-Demand
• Free Video

Cross-View Geo-Localization - Ground-to-Aerial Image Matching

Explore cross-view geo-localization techniques, focusing on ground-to-aerial image matching. Learn about approaches, limitations, and advancements in this field of computer vision.

• YouTube
• 53 minutes
• On-Demand
• Free Video

PHP UK Conference

Simple Machine Learning

Explore basic machine learning approaches for classification in PHP, with real-world applications and practical demonstrations.

• YouTube
• 55 minutes
• On-Demand
• Conference Talk