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170 results
In this video, we delve into the powerful technique of L1 regularization and its application to neural network activations using ...
18 views
8 months ago
Regularization Explained: Prevent Overfitting & Improve ML Models Overview: Dive deep into regularization techniques, crucial ...
3 views
3 months ago
In this talk, I introduce PENEX, a new loss function for deep neural networks inspired by multi-class AdaBoost. PENEX acts as an ...
64 views
2 months ago
In this post #NeurIPS2025 episode, Linara Adilova shares the work on relative flatness in deep learning — a concept that could ...
249 views
4 weeks ago
About MLQs Café Welcome to MLQs Café — your go-to channel for mastering Python, Machine Learning, Data Science, Statistics, ...
92 views
In this video, we delve into the intricacies of weight decay and its crucial role in optimizing deep learning models. Specifically ...
13 views
10 months ago
Why Deep Learning Works (Chapter 20): Training & Generalization Secrets Revealed! Overview: This video dives into the ...
7 views
This is Lecture 17 of the course on Probabilistic Machine Learning in the Summer Term of 2025 at the University of Tübingen, ...
1,793 views
6 months ago
This video demonstrates how to apply artificial neural networks (ANNs) for pixel-based classification of soil sealing using ...
41 views
11 months ago
About MLQ Café Welcome to MLQ Café — your go-to channel for mastering Python, Machine Learning, Data Science, Statistics, ...
102 views
9 months ago
This video explores advanced topics in artificial neural networks (ANNs), including different optimizers beyond Stochastic ...
25 views
76 views
We then tackle the core challenges of machine learning: the Bias-Variance Tradeoff, Overfitting, and Underfitting. You will learn to ...
90 views
128 views
Today's Question: What can you do to reduce overfitting in a deep neural network after training, when you notice that it is strongly ...
463 views
📖 Description: Overfitting is when your model performs well on training but fails in real life. L2 regularization (Ridge ...
117 views
For academics and professionals navigating the complexities of deep learning optimization, clarity is essential. Also, Check this ...
46 views
Deep learning in species distribution modelling - plenty of potential and three challenges Florian Hartig ...
280 views
7 months ago
... of deep learning models. Today's Topic: How to Prevent Overfitting in Feedforward Neural Networks: Tips & Techniques Thanks ...