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

Home

Lecture

Understanding Deep Learning

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (53)

Deep Learning: Designing Neural Network Models Log in to Mediaspace to watch this video

Covers the design and optimization of neural network models in deep learning.

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.

Neural Networks: Regression and Classification Log in to Mediaspace to watch this video

Explores neural networks for regression and classification tasks, covering training, regularization, and practical examples.

Neural Networks: Basics and Applications Log in to Mediaspace to watch this video

Explores neural networks basics, XOR problem, classification, and practical applications like weather data prediction.

Hand Pose Estimation Log in to Mediaspace to watch this video

Covers hand pose estimation, regression techniques, and the evolution of image classification models from LeNet to VGG19.

Neural Networks for NLP Log in to Mediaspace to watch this video

Covers modern Neural Network approaches to NLP, focusing on word embeddings, Neural Networks for NLP tasks, and future Transfer Learning techniques.

Deep Learning Log in to Mediaspace to watch this video

Covers the fundamentals of deep learning, including data representations, bag of words, data pre-processing, artificial neural networks, and convolutional 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.

Neural Networks Recap: Activation Functions Log in to Mediaspace to watch this video

Covers the basics of neural networks, activation functions, training, image processing, CNNs, regularization, and dimensionality reduction methods.

Computer Vision: Historical Insights and Project Inspirations Log in to Mediaspace to watch this video

Explores the historical development of computer vision and inspires innovative project ideas.

Edge Detection: Deep Learning Insights Log in to Mediaspace to watch this video

Explores the evolution of edge detection techniques, from Canny to deep learning insights.

Geometric Insights on Deep Learning Models Log in to Mediaspace to watch this video

Delves into the geometric insights of deep learning models, exploring their vulnerability to perturbations and the importance of robustness and interpretability.

Understanding Visual Cortex with Deep Learning Models Log in to Mediaspace to watch this video

Explores using deep learning models to understand the visual cortex and sensory portraits.

Deep Learning: Principles and Applications Log in to Mediaspace to watch this video

Covers the fundamentals of deep learning, including data, architecture, and ethical considerations in model deployment.

Graph Search: Neural Networks and Deep Learning Log in to Mediaspace to watch this video

Delves into graph search, neural networks, and deep learning, covering topics like convolutional neural networks and artificial neural networks.

Neural Taskonomy and Historical Perspectives in Visual Intelligence Log in to Mediaspace to watch this video

Covers Neural Taskonomy, the evolution of neural networks, and historical perspectives in visual intelligence.

Generative Adversarial Networks: Data Synthesis Techniques Log in to Mediaspace to watch this video

Discusses Generative Adversarial Networks and their applications in synthesizing data and generating images.

Gaussian Mixture Regression: Theory and Applications Log in to Mediaspace to watch this video

Explores Gaussian mixture regression and overfitting with multiple Gauss functions.

Overfitting in Supervised Learning: Case Studies and Techniques Log in to Mediaspace to watch this video

Addresses overfitting in supervised learning through polynomial regression case studies and model selection techniques.

Machine Learning: Supervised and Unsupervised Learning Techniques Log in to Mediaspace to watch this video

Covers supervised and unsupervised learning techniques in machine learning, highlighting their applications in finance and environmental analysis.

Page 2 of 3