Contrastive Learning: A Tutorial | Built In
Contrastive Learning: A Tutorial | Built In
8 months ago
builtin.com
Contrastive Loss for Siamese Networks with Keras and TensorFlow - PyImageSearch
Contrastive Loss for Siamese Networks with Keras and TensorFl…
Jan 18, 2021
pyimagesearch.com
Convolutions in deep learning can be understood as a sliding grid called a kernel or filter that moves across an input image. This operation forms the core of convolutional neural networks (CNNs). How this sliding window behaves is determined by three important hyperparameters: Kernel size defines the dimensions of the filter (like 3x3 or 7x7). It determines the local region of the image the kernel examines at each step. Stride controls how far the kernel shifts each time it moves. A stride of 1
2:12
Convolutions in deep learning can be understood as a sliding grid ca…
20.3K views3 months ago
FacebookMohit Rathod
Predicting 2'O-Methylation Sites in Human RNA: OMetaNet Deep Learning Model
8:13
Predicting 2'O-Methylation Sites in Human RNA: OMetaNet Deep Lear…
3 views3 months ago
YouTubeFuture Spot
Insightforge | AI & Data Science on Instagram: "Ever wondered how AI updates its mind the moment new data arrives? That is Bayesian statistics at work. Instead of locking into one fixed answer, it treats probability like uncertainty you can refine. Every guess is a curve, not a point. That curve, called a probability density function, shows which values are more likely and which ones fade out. You start with a prior, your initial belief. Then real data comes in, the likelihood. Bayesian logic bl
1:22
Insightforge | AI & Data Science on Instagram: "Ever wondered how A…
8.1K views1 month ago
Instagraminsightforge.ai
Artificial Intelligence | AI on Instagram: "Bayesian statistics is a way of thinking about probability that helps us make decisions and predictions by combining what we already know (called a prior) with new data we see. It is a large field with many popular applications (Bayesian networks, diffusion models, variational autoencoders), with a couple of key ideas. The probability density function (PDF), describes how likely different values of a variable are. This function is central to how we mak
1:19
Artificial Intelligence | AI on Instagram: "Bayesian statistics is …
11.8K views5 months ago
Instagramgetintoai
Artificial Intelligence | AI on Instagram: "A denoising autoencoder (DAE) is a type of neural network trained to reconstruct clean inputs from their noisy versions, encouraging the model to learn robust and meaningful data representations. Typically, noise such as additive Gaussian noise is applied to the input, and the network learns to recover the original signal. However, DAEs also have a deeper theoretical foundation connected to statistics. Notably, they approximate the gradient of the log
1:28
Artificial Intelligence | AI on Instagram: "A denoising autoenco…
7K views4 months ago
Instagramgetintoai
1:03
Insightforge | AI & Data Science on Instagram: "In AI and machine lear…
871 views2 weeks ago
Instagraminsightforge.ai
1:26
Artificial Intelligence | AI | UMAP (Uniform Manifold Approximation …
10.7K views4 months ago
Instagramgetintoai
LGC-CR: Few-shot Knowledge Graph Completion via Local Globa…
3 months ago
acm.org
T-SNE (t-distributed Stochastic Neighbor Embedding): Visualizin…
3.3K views11 months ago
YouTubeGiffah
Multi-level Cross-view Contrastive Learning for Knowledge-aware Re…
Jul 8, 2022
acm.org
Balanced Knowledge Distillation with Contrastive Learning for Doc…
Aug 9, 2023
acm.org
An Interpretable Brain Graph Contrastive Learning Framework f…
Mar 4, 2024
acm.org
Contrastive Meta Learning with Behavior Multiplicity for Recomme…
Feb 27, 2022
acm.org
Weakly-supervised contrastive learning in path manifold for Mont…
Jul 19, 2021
acm.org
Multi-Modal Contrastive Pre-training for Recommendation | Proceeding…
Jun 24, 2022
acm.org
What CLIP models are (Contrastive Language-Image Pre-training)
8.6K viewsJun 17, 2023
YouTubeSuper Data Science: ML & AI Podcast with Jon …
Data Learning: Towards Better Understanding of Contrastive Lear…
11.8K viewsMay 17, 2023
YouTubeDataLearning
30:23
Contrastive Analysis - Prof. Abdelaziz Kesbi
3.7K viewsJan 23, 2021
YouTubeAbdelaziz Kesbi
7:05
Deep Learning(CS7015): Lec 10.6 Contrastive estimation
19.5K viewsOct 24, 2018
YouTubeNPTEL-NOC IITM
48:07
OpenAI CLIP: ConnectingText and Images (Paper Explained)
170.2K viewsJan 12, 2021
YouTubeYannic Kilcher
4:05
Using Differentiated Instruction to Support All Learners
118.6K viewsApr 10, 2018
YouTubeYourAlberta (Government of Alberta)
21:15
Deep Reinforcement Learning: Neural Networks for Learning Con…
149K viewsFeb 19, 2021
YouTubeSteve Brunton
11:12:31
Practical Deep Learning for Coders - Full Course from fast.ai and Jerem…
403.9K viewsOct 21, 2020
YouTubefreeCodeCamp.org
11:12
Compare and Contrast | Award Winning Teaching Video for Comp…
420.3K viewsJan 27, 2021
YouTubeGrammarSongs by Melissa
1:10
Contrastive Analysis
70.2K viewsJul 28, 2013
YouTubeTesolClass
1:01
Contrastive Learning Explained
91 views8 months ago
YouTubekoombea
30:08
Supervised Contrastive Learning
66.5K viewsApr 24, 2020
YouTubeYannic Kilcher
12:08
OpenAI CLIP model explained
25.4K viewsJun 4, 2024
YouTubeMachine Learning Studio
See more videos
Static thumbnail place holder