Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.

Home

Lecture

Perception: Data-Driven Approaches

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (44)

Deep Learning: Data Representations and Neural Networks Log in to Mediaspace to watch this video

Covers data representations, Bag of Words, histograms, data pre-processing, and neural networks.

Deep Learning: Multilayer Perceptron and Training Log in to Mediaspace to watch this video

Covers deep learning fundamentals, focusing on multilayer perceptrons and their training processes.

Deep Learning Fundamentals Log in to Mediaspace to watch this video

Introduces deep learning, from logistic regression to neural networks, emphasizing the need for handling non-linearly separable data.

Gradient Descent on Two-Layer ReLU Neural Networks Log in to Mediaspace to watch this video

Analyzes gradient descent on two-layer ReLU neural networks, exploring global convergence, regularization, implicit bias, and statistical efficiency.

Neural Networks: Training and Optimization Log in to Mediaspace to watch this video

Explores the training and optimization of neural networks, addressing challenges like non-convex loss functions and local minima.

Machine Learning for Feature Extraction Log in to Mediaspace to watch this video

Explores machine learning for feature extraction, 3D vision, and neural networks in mobile robotics.

Feed-forward Networks Log in to Mediaspace to watch this video

Introduces feed-forward networks, covering neural network structure, training, activation functions, and optimization, with applications in forecasting and finance.

Financial Time Series Analysis Log in to Mediaspace to watch this video

Covers stylized facts of asset returns, summary statistics, testing for normality, Q-Q plots, and efficient market hypothesis.

Neural Network Approximation and Learning Log in to Mediaspace to watch this video

Delves into neural network approximation, supervised learning, challenges in high-dimensional learning, and deep learning experimental revolution.

Deep Learning: Convolutional Networks Log in to Mediaspace to watch this video

Explores convolutional neural networks, backpropagation, and stochastic gradient descent in deep learning.

Reinforcement Learning Concepts Log in to Mediaspace to watch this video

Covers key concepts in reinforcement learning, neural networks, clustering, and unsupervised learning, emphasizing their applications and challenges.

Neural Networks: Learning Features & Linear Prediction Log in to Mediaspace to watch this video

Explores neural networks' ability to learn features and make linear predictions, emphasizing the importance of data quantity for effective performance.

Image Processing I: Convolutional Neural Networks Log in to Mediaspace to watch this video

Introduces convolutional neural networks for image processing, covering basic components, architectures, and practical applications, including denoising and segmentation.

Data Representation: PCA Log in to Mediaspace to watch this video

Covers data representation using PCA for dimensionality reduction, focusing on signal preservation and noise removal.

Neural Network Quantum State Tomography Log in to Mediaspace to watch this video

Explores neural networks for quantum state tomography, focusing on highly-entangled systems, training schemes, and overfitting.

Replica computation and machine learning Log in to Mediaspace to watch this video

Explores replica computation, algorithmic energy minimization, and their connection to machine learning concepts.

Untitled Log in to Mediaspace to watch this video

Reinforcement Learning: Q-Learning Log in to Mediaspace to watch this video

Covers Q-Learning, a model-free reinforcement learning algorithm, and its application to Tic-Tac-Toe with examples and quizzes.

Cross-Validation: Techniques and Applications Log in to Mediaspace to watch this video

Explores cross-validation, overfitting, regularization, and regression techniques in machine learning.

Modern Natural Language Processing: Core Methods and Applications Log in to Mediaspace to watch this video

Delves into core methods and applications of modern natural language processing, addressing challenges and advancements.

Page 2 of 3