Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.

Home

Lecture

Deep Learning: Backward Propagation and Vanishing Gradient

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (35)

Deep Learning Fundamentals Log in to Mediaspace to watch this video

Introduces deep learning, from logistic regression to neural networks, emphasizing the need for handling non-linearly separable data.

Deep Learning Fundamentals Log in to Mediaspace to watch this video

Introduces deep learning fundamentals, covering data representations, neural networks, and convolutional neural networks.

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.

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.

Image Processing II: Neural Networks and CNNs Log in to Mediaspace to watch this video

Explores the evolution of CNNs in image processing, covering classical and deep neural networks, training algorithms, backpropagation, non-linear steps, loss functions, and software frameworks.

Deep Learning: Convolutional Neural Networks and Training Techniques Log in to Mediaspace to watch this video

Discusses convolutional neural networks, their architecture, training techniques, and challenges like adversarial examples in deep learning.

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.

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 Learning: Data Representations and Neural Networks Log in to Mediaspace to watch this video

Explores data representations, histograms, neural networks, and deep learning concepts.

Deep Learning for NLP Log in to Mediaspace to watch this video

Explores deep learning for NLP, covering word embeddings, context representations, learning techniques, and challenges like vanishing gradients and ethical considerations.

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.

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.

Deep Neural Network Solution of the Electronic Schrödinger Equation Log in to Mediaspace to watch this video

Explores deep neural network solutions for the electronic Schrödinger equation and their computational efficiency in many-body physics.

Computational Neuroscience: Biophysics Log in to Mediaspace to watch this video

Covers modern neuroscience synthesis, biophysical modeling, and brain building blocks with practical applications.

Computer Vision: Recap Log in to Mediaspace to watch this video

Recaps key concepts in computer vision, challenges, opportunities, and upcoming exam details.

Page 2 of 2