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1,299 results
Regularization is a set of techniques that can prevent overfitting in neural networks and thus improve the accuracy of a Deep ...
97,672 views
3 years ago
Layer normalization, Filter response normalization (FRN), Thresholded linear unit (TLU), Normalizer-free networks, Gradient ...
1,967 views
2 years ago
Weight Decay, Early stopping, Manifold Tangent Classifier, Noise injection.
3,936 views
Today we discuss some powerful techniques for improving training and avoiding over-fitting: - *Dropout*: remove activations at ...
72,316 views
6 years ago
Deep Learning - Regularization Part 2 This video discusses classical regularization techniques such as early stopping using a ...
871 views
5 years ago
This is a video that introduces regularization- Dropout. Attribution-NonCommercial-ShareAlike CC BY-NC-SA Authors: Matthew ...
4,752 views
Ridge regression, regularization, polynomial regression and basis functions. Slides available at: ...
48,253 views
12 years ago
Numenta Journal Club reviews: https://arxiv.org/abs/1712.01312 Discussion at ...
2,056 views
Streamed 6 years ago
machinelearning #shorts.
10,063 views
Deep Learning - Regularization Part 5 This video discusses multi-task learning. For reminders to watch the new video follow on ...
698 views
Speaker: S. FREI (UC Berkeley) Youth in High-Dimensions: Recent Progress in Machine Learning, High-Dimensional Statistics ...
772 views
This video was recorded as part of CIS 522 - Deep Learning at the University of Pennsylvania. The course material, including the ...
7,885 views
4 years ago
From Gradient Descent to Adam. Here are some optimizers you should know. And an easy way to remember them. SUBSCRIBE ...
144,192 views
... 14 – Practicum PRACTICUM: http://bit.ly/pDL-en-14-3 When training highly parametrised models such as deep neural networks ...
5,289 views
2,358 views
Deep Learning - Regularization Part 4 This video discusses initialization techniques and transfer learning. Full Transcript ...
517 views
Dive into the fundamentals of Ridge Regression with the first part of our series. We'll provide a clear geometric intuition, backed by ...
159,083 views
HPI Deep Learning Lecture Chapter 4 Multilayer Perceptrons Lecture based on “Dive into Deep Learning” http://D2L.AI (Zhang et ...
760 views
We are using the PyTorch deep learning framework to build a neural network that will learn. The neural network contains a ...
859 views
ก็สวัสดีครับนักศึกษาครับวันนี้เราจะมาพูดนะครับในวิชา Machine Learning นะครับหรือ the deep Learning นะครับที่เราจะเน้นนะครับในมณฑลที่ 2.
309 views