Lecture

Photonic Extreme Learning Machines: Reservoir Computing Techniques

Related lectures (32)
Stress-based Frequency Tuning
Explores stress-based frequency tuning in micro/nanomechanical devices, covering black body radiation, optical nonlinearity, NETD, and dynamic range.
Neural Networks: Training and Activation
Explores neural networks, activation functions, backpropagation, and PyTorch implementation.
Feature Engineering: Missing Data and Standardization
Covers techniques for handling missing data and standardizing features, as well as transforming input and output data.
Neural Networks: Multilayer Perceptrons
Covers Multilayer Perceptrons, artificial neurons, activation functions, matrix notation, flexibility, regularization, regression, and classification tasks.
Document Analysis: Topic Modeling
Explores document analysis, topic modeling, and generative models for data generation in machine learning.
Deep Learning Fundamentals
Introduces deep learning, from logistic regression to neural networks, emphasizing the need for handling non-linearly separable data.
Deep Learning: Data Representations and Neural Networks
Covers data representations, Bag of Words, histograms, data pre-processing, and neural networks.
Multilayer Neural Networks: Deep Learning
Covers the fundamentals of multilayer neural networks and deep learning.
Gradient Descent: Optimization Techniques
Explores gradient descent, loss functions, and optimization techniques in neural network training.
Neural Networks: Basics and Applications
Explores neural networks basics, XOR problem, classification, and practical applications like weather data prediction.

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.