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Concept

Deep learning

Related lectures (32)

Provable Benefits of Overparameterization in Model Compression

Explores the provable benefits of overparameterization in model compression, emphasizing the efficiency of deep neural networks and the importance of retraining for improved performance.

Deep Learning: Convolutional Neural Networks

Covers Convolutional Neural Networks, standard architectures, training techniques, and adversarial examples in deep learning.

Deep Learning for Autonomous Vehicles Log in to Mediaspace to watch this video

Explores deep learning for autonomous vehicles, covering perception, action, and social forecasting in the context of sensor technologies and ethical considerations.

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.

Neural Network Approximation and Learning Log in to Mediaspace to watch this video

Delves into neural network approximation, supervised learning, challenges in high-dimensional learning, and deep learning experimental revolution.

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.

Physics-Informed Imaging Systems Log in to Mediaspace to watch this video

Explores physics-informed imaging systems, including lensless imaging, deep learning for imaging challenges, and the development of noise models for low-light videos.

Neural Networks: Learning Features & Linear Prediction Log in to Mediaspace to watch this video

Explores neural networks' ability to learn features and make linear predictions, emphasizing the importance of data quantity for effective performance.

Long Short-Term Memory Networks Log in to Mediaspace to watch this video

Introduces Long Short-Term Memory (LSTM) networks as a solution to vanishing and exploding gradients in recurrent neural networks.

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.

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.