batch normalization

Jeremy Howard

Lesson 17: Deep Learning Foundations to Stable Diffusion

We explore normalization techniques, such as Layer Normalization and Batch Normalization, and briefly mention other ...

1:56:33

Lesson 17: Deep Learning Foundations to Stable Diffusion

11,872 views

2 years ago

Alfredo Canziani (冷在)

Week 14 – Practicum: Overfitting and regularization, and Bayesian neural nets

Course website: http://bit.ly/pDL-home Playlist: http://bit.ly/pDL-YouTube Speaker: Alfredo Canziani Week 14: ...

1:11:28

Week 14 – Practicum: Overfitting and regularization, and Bayesian neural nets

5,295 views

5 years ago

Jeremy Howard

Lesson 6: Deep Learning 2019 - Regularization; Convolutions; Data ethics

... increase data size - *Batch normalization*: adjust the parameterization of a model in order to make the loss surface smoother.

2:17:43

Lesson 6: Deep Learning 2019 - Regularization; Convolutions; Data ethics

72,327 views

6 years ago

BioniChaos

Building an End-to-End BreastMNIST Classification Pipeline with CNN & ResNet18

In this video, we build a complete BreastMNIST classification pipeline from scratch. We focus on: Loading & inspecting the ...

14:31

Building an End-to-End BreastMNIST Classification Pipeline with CNN & ResNet18

62 views

10 months ago

Alfredo Canziani (冷在)

Course website: http://bit.ly/DLSP20-web Playlist: http://bit.ly/pDL-YouTube Speaker: Aaron DeFazio Week 5: ...

1:29:06

Week 5 – Lecture: Optimisation

19,322 views

5 years ago

Jeremy Howard

... a return to computer vision, where we implement the powerful resnet architecture and batch normalization layer from scratch.

2:17:31

Lesson 7: Deep Learning 2

42,861 views

8 years ago

Lars Juhl Jensen

Single cell and spatial omics: A short introduction to the core concepts of scRNA-seq and more

A short introduction to the core concepts on single-cell omics data and spatial omics data. I will start by introducing how these ...

6:21

Single cell and spatial omics: A short introduction to the core concepts of scRNA-seq and more

12,045 views

3 years ago

Jeremy Howard

Lesson 19: Deep Learning Foundations to Stable Diffusion

All lesson resources are available at http://course.fast.ai.) In this lesson, Jeremy introduces Dropout, a technique for improving ...

1:30:03

Lesson 19: Deep Learning Foundations to Stable Diffusion

11,623 views

2 years ago

Jeremy Howard

Lesson 3: Practical Deep Learning for Coders

UNDERFITTING & OVERFITTING We've now seen a number of ways to build CNNs—it's time to build a more complete ...

2:03:18

Lesson 3: Practical Deep Learning for Coders

49,310 views

9 years ago

Berkeley Institute for Data Science (BIDS)

Identification of Novel Cell Types Using Single-Cell Transcriptome Sequencing

BIDS Data Science Lecture Series | December 4, 2015 | 1:00-2:30 p.m. | 190 Doe Library, UC Berkeley Speaker: Sandrine Dudoit, ...

50:31

Identification of Novel Cell Types Using Single-Cell Transcriptome Sequencing

2,768 views

Streamed 10 years ago

NPTEL IIT Bombay

Data analysis: Batch Correction and Missing values.

28:22

Lecture 19 : Data analysis: Batch Correction and Missing values

843 views

6 years ago

Jeremy Howard

Lesson 5: Practical Deep Learning for Coders

One important point: in this lesson we add batch normalization to VGG, and in the original classroom setting we updated the ...

2:03:04

Lesson 5: Practical Deep Learning for Coders

37,226 views

9 years ago

Jeremy Howard

Lesson 12: Deep Learning Foundations to Stable Diffusion

All lesson resources are available at http://course.fast.ai.) In this lesson, we start by discussing the CLIP Interrogator, a Hugging ...

1:50:24

Lesson 12: Deep Learning Foundations to Stable Diffusion

21,725 views

2 years ago

Social RTCL TV

Ship Anomalous Behavior Detection Using Clustering and Deep Recurrent Neural Network | RTCL.TV

Keywords ### #AIStrajectories #anomalydetection #DTW #DBSCAN #BiGRU #RTCLTV #shorts ### Article Attribution ### Title: ...

0:47

Ship Anomalous Behavior Detection Using Clustering and Deep Recurrent Neural Network | RTCL.TV

25 views

2 years ago

UQx Deep Learning through Transformative Pedagogy

UQx DEEPx The role of feedback in deep learning and motivation

LEARN067-The-role-of-feedback For more information on this course please click on the following link ...

7:23

UQx DEEPx The role of feedback in deep learning and motivation

1,029 views

8 years ago

NPTEL IIT Bombay

ProTIGY - II.

27:11

Lecture 24 : ProTIGY - II

406 views

6 years ago

Training – SIB Swiss Institute of Bioinformatics

Preprocessing of sequencing-based SRT data - January 2025 (4 of 9)

This lecture addresses the key pre-processing steps and quality control (QC) considerations specific to sequencing-based spatial ...

36:33

Preprocessing of sequencing-based SRT data - January 2025 (4 of 9)

255 views

9 months ago

Medicine RTCL TV

Unsupervised Domain Adaptation by Statistics Alignment for Deep Sleep Staging Networks | RTCL.TV

Keywords ### #Unsuperviseddomainadaptation #deeplearning #sleepstaging #transferlearning #batchnormalization #RTCLTV ...

1:16

Unsupervised Domain Adaptation by Statistics Alignment for Deep Sleep Staging Networks | RTCL.TV

6 views

2 years ago

GalaxyProject

GTN Training - Machine Learning - Deep Learning 1: Feedforward Neural Networks

Speaker: Kaivan Kamali.

1:06:41

GTN Training - Machine Learning - Deep Learning 1: Feedforward Neural Networks

388 views

4 years ago

xvzf

Description In this video I review my favorite deep learning book. I like that it covers advanced topics in deep learning and also ...

1:22

The Only Deep Learning Book You Need

30,076 views

3 years ago

ViewTube