ViewTube

In this video, we delve into the essential concepts of Instance Normalization and Batch Normalization, two powerful techniques ...

In this video, we dive into two powerful techniques in deep learning: Batch Normalization and Self-Normalized Neural Networks ...

In this video, we delve into the role of batch normalization in recurrent neural networks (RNNs) and long short-term memory ...

When to use (He or Glorot) normal initialization over uniform init? And what are its effects with Ba ✧ I really hope you found a ...

... #modeloptimization, #batchnormalization, #regularizationtechniques, #datapreprocessing, #featurescaling, #researchinai.

In particular I talked about residual connections, batch normalization and depthwise separable convolutions. This video shows an ...

Batch normalization in residual blocks compensates for increasing activation magnitudes during training. • ResNets enable ...

I also discuss batch normalization layers and depthwise separable convolutional layers. Resources: Textbook: Chollet (2022).

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

... demonstrate vanishing gradients, batch normalization and performance degradation 06:23 Performance degradation 09:42 We ...

... such as increasing model capacity (adding more layers/units), implementing techniques like dropout and batch normalization, ...

This episode of TalkTensors dives into a groundbreaking paper that challenges the long-held belief that normalization layers are ...

Canadian Bioinformatics Workshop series: - Single Cell RNA-seq Analysis - Quality Control and Normalization (Tallulah Andrews) ...

... batch normalization so batch normalization is a layer uh that goes into a neural network so um the idea of batch normalization is ...

Use my app if normalizing audio files is kinda annoying sometimes or if you like to make sample packs. Sources: ...

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

7 PyTorch Tasks Every AI Researcher & Engineer Must Know Colab ...

Presented by Philippe Gagnon at Airflow Summit 2025. Trino is incredibly effective at enabling users to extract insights quickly ...

Help on data transformation ✧ I really hope you found a helpful solution! ♡ The Content is licensed under CC ...

This episode details the process of building a tokenizer from scratch using the available library blocks. Tokenization is structured ...

In this video, I walk through the process of training and evaluating a BreastMNIST classifier, implementing key optimizations such ...

This episode reviewed several essential concepts related to text processing and natural language understanding, primarily ...

Join the FREE community: https://omniscient.mn.co/plans/1873326 Work with me: https://calendly.com/d/cs9y-6kn-2n2 Subscribe ...

Kernel-Resident Regex and Jails: DFA-powered eBPF filtering and certificate-safe agent isolation at fleet scale - Justin Ngai ...

This episode dives into the practical implementation of Part-of-speech (POS) tagging using Recurrent Neural Networks (RNNs), ...