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Concept

Residual neural network

Related lectures (29)

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Deep Learning: Convolutional Neural Networks

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Convolutional Neural Networks

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Convolutional Neural Networks: Structure & Regularization

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Deep Learning: Convolutional Neural Networks

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Deep Learning Fundamentals

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Convolutional Neural Networks

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Nonlinear Supervised Learning

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Sequence to Sequence Models: Overview and Applications

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Feedforward Neural Networks: Activation Functions and Backpropagation

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Deep Learning: Recurrent Neural Networks

Explores Recurrent Neural Networks for behavioral data, covering Deep Knowledge Tracing, LSTM, GRU networks, hyperparameter tuning, and time series prediction tasks.

Deep Splines: Unifying Framework for Deep Neural Networks

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

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

Deep and Convolutional Networks: Generalization and Optimization Log in to Mediaspace to watch this video

Explores deep and convolutional networks, covering generalization, optimization, and practical applications in machine learning.

Multi-layered Perceptron: History and Training Algorithm Log in to Mediaspace to watch this video

Explores the historical development and training of multi-layered perceptrons, emphasizing the backpropagation algorithm and feature design.

Transformers in Vision Log in to Mediaspace to watch this video

Explores the evolution of visual intelligence models, focusing on Transformers and their applications in computer vision and natural language processing.

Convolutional Networks: Overview and Architecture Log in to Mediaspace to watch this video

Covers the motivation and architecture of convolutional networks, from LeNet to AlexNet.

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.