Skip to main content
Graph
Search
fr
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Quizes
Exercises
Publications
Startups
Units
Show all results for
Home
Lecture
Neural Networks Recap: Activation Functions
Graph Chatbot
Related lectures (57)
Machine Learning Fundamentals
Log in to Mediaspace to watch this video
Introduces fundamental machine learning concepts, covering regression, classification, dimensionality reduction, and deep generative models.
Clustering & Density Estimation
Log in to Mediaspace to watch this video
Covers clustering, PCA, LDA, K-means, GMM, KDE, and Mean Shift algorithms for density estimation and clustering.
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.
Deep Generative Models: Part 2
Log in to Mediaspace to watch this video
Explores deep generative models, including mixtures of multinomials, PCA, deep autoencoders, convolutional autoencoders, and GANs.
Introduction to Data Science
Log in to Mediaspace to watch this video
Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
Untitled
Log in to Mediaspace to watch this video
Neural Networks: Training and Optimization
Log in to Mediaspace to watch this video
Explores neural network training, optimization, and environmental considerations, with insights into PCA and K-means clustering.
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.
Boltzmann Machine
Log in to Mediaspace to watch this video
Covers the Boltzmann Machine, a type of stochastic recurrent neural network.
Untitled
Log in to Mediaspace to watch this video
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.
Untitled
Log in to Mediaspace to watch this video
Data-Driven Modeling in Neuroscience: Meenakshi Khosla
Log in to Mediaspace to watch this video
By Meenakshi Khosla explores data-driven modeling in large-scale naturalistic neuroscience, focusing on brain activity representation and computational models.
Clustering & Density Estimation
Log in to Mediaspace to watch this video
Covers dimensionality reduction, PCA, clustering techniques, and density estimation methods.
Clustering & Density Estimation
Log in to Mediaspace to watch this video
Covers dimensionality reduction, clustering, and density estimation techniques, including PCA, K-means, GMM, and Mean Shift.
Neural Networks: Perceptron and Backpropagation
Log in to Mediaspace to watch this video
Covers the basics of neural networks, including the perceptron model and backpropagation.
Multi-layer Neural Networks
Log in to Mediaspace to watch this video
Covers the fundamentals of multi-layer neural networks and the training process of fully connected networks with hidden layers.
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.
Deep Generative Models
Log in to Mediaspace to watch this video
Covers deep generative models, including variational autoencoders, GANs, and deep convolutional GANs.
Feature Engineering: Missing Data and Standardization
Log in to Mediaspace to watch this video
Covers techniques for handling missing data and standardizing features, as well as transforming input and output data.
Previous
Page 2 of 3
Next