Related lectures (48)
Multi-layer Neural Networks
Covers the fundamentals of multi-layer neural networks and the training process of fully connected networks with hidden layers.
Neural Network Activity: Modeling and Analysis
Explores neural network modeling, sensitivity analysis, and replicating experimental conditions to understand brain activity.
Neural Networks: Random Features and Kernel Regression
Explores random features in neural networks and kernel regression using stochastic gradient descent.
Reconstructing Brain Regions: Challenges and Strategies
Explores challenges in brain region modeling using atlases and strategies to compensate for missing data and assumptions.
Building Neural Networks: Assembly Strategies
Focuses on assembling neural network building blocks and dealing with data sparseness using various strategies and assumptions.
Bio-Inspired Learning: Neural Networks, Genetic Algorithms
Explores bio-inspired learning with neural networks and genetic algorithms, covering structure, training, and practical applications.
Network Simulation and Activity Dynamics
Explores neural network simulation, activity dynamics, and validation processes to ensure accurate predictions.
Neural Networks: Multi-layers
Explains the learning process in multi-layer neural networks, including back-propagation, activation functions, weights update, and error backpropagation.
Neural Networks and Deep Learning
Covers formal neuron models, activation functions, and approximation results for neural networks.
Network Functions: Analysis and Design
Explores network functions in s-domain circuit analysis, covering stability, poles, responses, and design.

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.