Audio Model Blocks Skip Connection Blocks GBlock public – 2 min read What is GBlock? GBlock is a type of residual block that is used in the GAN-TTS text-to-speech architecture. The purpose… Apr 23, 2023 Devin Schumacher
Image Model Blocks Skip Connection Blocks OSA (identity mapping + eSE) public – 3 min read One-Shot Aggregation with an Identity Mapping and eSE is a technical term used in the field of computer vision and… Apr 23, 2023 Devin Schumacher
Audio Model Blocks Skip Connection Blocks MelGAN Residual Block public – 1 min read Audio generation has long been an area of interest in the field of deep learning. The MelGAN Residual Block is… Apr 23, 2023 Devin Schumacher
Attention Mechanisms Image Model Blocks Skip Connection Blocks Efficient Channel Attention public – 1 min read ECANet is a type of block that improves a CNN's efficiency when processing large amounts of data. The block is… Apr 23, 2023 Devin Schumacher
Image Model Blocks Skip Connection Blocks DVD-GAN DBlock public – 2 min read Introduction to DVD-GAN DBlock Video generation has become an important area of research in recent years, and advancements in deep… Apr 23, 2023 Devin Schumacher
Image Model Blocks Skip Connection Blocks DVD-GAN GBlock public – 2 min read Video generation has become a popular area of research in the field of deep learning. One popular architecture used in… Apr 23, 2023 Devin Schumacher
Image Model Blocks Skip Connection Blocks Hierarchical-Split Block public – 2 min read When dealing with deep neural networks, a key aspect is efficiently representing and processing multi-scale features. This is where the… Apr 23, 2023 Devin Schumacher
Image Model Blocks Skip Connection Blocks NVAE Generative Residual Cell public – 2 min read NVAE Generative Residual Cell: Improving Generative Models Generative modeling is the process of creating a model that can generate new… Apr 23, 2023 Devin Schumacher
Image Model Blocks Skip Connection Blocks Ghost Bottleneck public – 1 min read A Ghost Bottleneck is a specific type of skip connection block used in the GhostNet CNN architecture. Similar to the… Apr 23, 2023 Devin Schumacher
Image Model Blocks Skip Connection Blocks NVAE Encoder Residual Cell public – 2 min read Machine learning has become a buzzword in the world of technology. It is a technique that teaches computers to learn… Apr 23, 2023 Devin Schumacher
Audio Model Blocks Skip Connection Blocks DBlock public – 3 min read Understanding DBlock in GAN-TTS Architecture DBlock is a specialized residual block that is utilized in the discriminator phase of the… Apr 23, 2023 Devin Schumacher
Audio Model Blocks Skip Connection Blocks Conditional DBlock public – 2 min read Understanding Conditional DBlock in GAN-TTS If you've ever heard of the term GAN-TTS, you may have come across the term… Apr 23, 2023 Devin Schumacher
Image Model Blocks Skip Connection Blocks CSPResNeXt Block public – 2 min read Deep learning models have become immensely popular for a variety of applications such as image classification, speech recognition, and natural… Apr 23, 2023 Devin Schumacher
Audio Model Blocks Skip Connection Blocks ParaNet Convolution Block public – 2 min read The ParaNet Convolution Block is a type of convolutional block used in the encoder and decoder of the ParaNet text-to-speech… Apr 23, 2023 Devin Schumacher
Attention Modules Image Model Blocks Skip Connection Blocks Global Context Block public – 2 min read Global Context Block is an image model block that allows modeling long-range dependencies while still having a lightweight computation. It… Apr 23, 2023 Devin Schumacher
Image Model Blocks Skip Connection Blocks One-Shot Aggregation public – 2 min read One-Shot Aggregation is a model block used for images that is an alternative to Dense Blocks. It was created as… Apr 23, 2023 Devin Schumacher
Image Model Blocks Skip Connection Blocks Res2Net Block public – 2 min read Res2Net Block is a popular image model block that constructs hierarchical residual-like connections within a single residual block. This block… Apr 23, 2023 Devin Schumacher
Image Model Blocks Skip Connection Blocks Residual SRM public – 3 min read What is Residual SRM and How Does it Work? A Residual SRM is a module that's utilized in convolutional neural… Apr 23, 2023 Devin Schumacher
Image Model Blocks Skip Connection Blocks Selective Kernel public – 2 min read What is Selective Kernel? Selective Kernel is a type of bottleneck block used in Convolutional Neural Network (CNN) architectures. It… Apr 23, 2023 Devin Schumacher
Image Model Blocks Skip Connection Blocks Two-Way Dense Layer public – 2 min read Understanding Two-Way Dense Layer in PeleeNet PeleeNet is a popular image model architecture that uses different building blocks to make… Apr 23, 2023 Devin Schumacher
Image Model Blocks Skip Connection Blocks Elastic ResNeXt Block public – 2 min read What is an Elastic ResNeXt Block? An Elastic ResNeXt Block is a modification of the ResNeXt Block that is designed… Apr 23, 2023 Devin Schumacher
Image Model Blocks Skip Connection Blocks Elastic Dense Block public – 2 min read The Elastic Dense Block is an advanced modification of the Dense Block that allows for downsampling and upsampling in parallel… Apr 23, 2023 Devin Schumacher
Image Model Blocks Skip Connection Blocks FBNet Block public – 1 min read What is FBNet Block? FBNet Block is a type of image model block used in the FBNet architectures. It was… Apr 23, 2023 Devin Schumacher
Image Model Blocks Skip Connection Blocks Extremely Efficient Spatial Pyramid of Depth-wise Dilated Separable Convolutions public – 2 min read The EESP Unit, or Extremely Efficient Spatial Pyramid of Depth-wise Dilated Separable Convolutions, is an innovative image model block developed… Apr 23, 2023 Devin Schumacher
Image Model Blocks Skip Connection Blocks Strided EESP public – 2 min read A Strided EESP unit is a modified version of the EESP unit, designed to learn representations more efficiently at multiple… Apr 23, 2023 Devin Schumacher
Image Model Blocks Skip Connection Blocks Big-Little Module public – 2 min read One of the latest and most innovative additions to image recognition technology is the Big-Little Module, an architecture aimed at… Apr 23, 2023 Devin Schumacher
Skip Connection Blocks Reversible Residual Block public – 3 min read Reversible Residual Blocks are a new way of building convolutional neural networks (CNNs). They are a part of the RevNet… Apr 23, 2023 Devin Schumacher
Image Model Blocks Skip Connection Blocks Inception-ResNet-v2-C public – 2 min read Inception-ResNet-v2-C is a block model used for image processing in the Inception-ResNet-v2 architecture. This block model is designed to work… Apr 23, 2023 Devin Schumacher
Image Model Blocks Skip Connection Blocks Inception-ResNet-v2-B public – 2 min read What is Inception-ResNet-v2-B? Inception-ResNet-v2-B is an image model block used in the Inception-ResNet-v2 architecture, specifically for a 17 x 17… Apr 23, 2023 Devin Schumacher
Audio Model Blocks Skip Connection Blocks DV3 Convolution Block public – 2 min read DV3 Convolution Block: An Overview In the field of computer science and artificial intelligence, Deep Voice 3 is a popular… Apr 23, 2023 Devin Schumacher
Image Model Blocks Skip Connection Blocks Wide Residual Block public – 2 min read What is a Wide Residual Block? A Wide Residual Block is a type of residual block that is designed to… Apr 23, 2023 Devin Schumacher
Image Model Blocks Skip Connection Blocks Pyramidal Bottleneck Residual Unit public – 2 min read A Pyramidal Bottleneck Residual Unit is a type of neural network architecture that is designed to improve the performance of… Apr 23, 2023 Devin Schumacher
Image Model Blocks Skip Connection Blocks Pyramidal Residual Unit public – 2 min read Overview of Pyramidal Residual Unit Pyramidal Residual Unit is a newer type of residual unit that has been introduced as… Apr 23, 2023 Devin Schumacher
Image Model Blocks Skip Connection Blocks SqueezeNeXt Block public – 1 min read What is a SqueezeNeXt Block? A SqueezeNeXt Block is a two-stage bottleneck module used in the SqueezeNeXt architecture to reduce… Apr 23, 2023 Devin Schumacher
Sequential Blocks Skip Connection Blocks Speech Synthesis Blocks CBHG public – 2 min read CBHG: A Building Block Used in Tacotron Text-to-Speech Model CBHG, short for Convolutional Bank Highway Gated Recurrent Unit, is a… Apr 23, 2023 Devin Schumacher
Image Model Blocks Skip Connection Blocks SRGAN Residual Block public – 2 min read In image processing, one of the main goals is to take a low-resolution image and make it higher quality, or… Apr 23, 2023 Devin Schumacher
Image Model Blocks Skip Connection Blocks Non-Local Block public – 3 min read What is a Non-Local Block in Neural Networks? Neural networks are a type of machine learning algorithm. They are designed… Apr 23, 2023 Devin Schumacher
Image Model Blocks Skip Connection Blocks Dilated Bottleneck Block public – 2 min read Dilated Bottleneck Block is a type of image model block used in the DetNet convolutional neural network architecture. This block… Apr 23, 2023 Devin Schumacher
Image Model Blocks Skip Connection Blocks Dilated Bottleneck with Projection Block public – 2 min read Dilated Bottleneck with Projection Block: An Overview of an Image Model Block Convolutional neural networks (CNNs) have revolutionized the field… Apr 23, 2023 Devin Schumacher
Image Model Blocks Skip Connection Blocks DPN Block public – 1 min read Overview of DPN Block The DPN block is a module that is used in convolutional neural networks (CNN) to enable… Apr 23, 2023 Devin Schumacher
Skip Connection Blocks Inverted Residual Block public – 2 min read The Inverted Residual Block, also known as an MBConv Block, is a type of residual block used for image models… Apr 23, 2023 Devin Schumacher
Image Model Blocks Skip Connection Blocks ShuffleNet Block public – 2 min read ShuffleNet Block is a model block used in image recognition that employs a channel shuffle operation and depthwise convolutions to… Apr 23, 2023 Devin Schumacher
Image Model Blocks Skip Connection Blocks ResNeXt Block public – 2 min read ResNeXt Block is a type of residual block used in the ResNeXt CNN architecture, which is a type of neural… Apr 23, 2023 Devin Schumacher
Image Model Blocks Skip Connection Blocks Dense Block public – 2 min read A Dense Block is a module found in convolutional neural networks that directly connects all of its layers (with matching… Apr 23, 2023 Devin Schumacher
Image Model Blocks Skip Connection Blocks Residual Block public – 2 min read The concept of Residual Blocks is a fundamental building block of deep learning neural networks. Introduced as part of the… Apr 23, 2023 Devin Schumacher
Image Model Blocks Skip Connection Blocks Bottleneck Residual Block public – 3 min read Understanding Bottleneck Residual Blocks in Deep Learning If you are interested in deep learning and its applications, you must have… Apr 23, 2023 Devin Schumacher