Machine Learning (ML) ResNet50 v1.5 architecture ResNet50 v1.5 is the modified version of the original ResNet50 model. ResNet50 v1.5 is slightly more accurate (0.5%) and slightly lower performance (down by 5%) compared to ResNet50.
Machine Learning (ML) Residual Network (ResNet) ResNet makes it possible to train up to hundreds or even thousands of layers and still achieves compelling performance. Thanks to this technique they were able to train a network with 152 layers while still having lower complexity than VGGNet. It achieves a top-5 error rate of 3.57%
Machine Learning (ML) Floating point operations per second (FLOPS) of Machine Learning models In this article, we take a look at the FLOPs values of various machine learning models like VGG19, VGG16, GoogleNet, ResNet18, ResNet34, ResNet50, ResNet152 and others. The FLOPS range from 19.6 billion to 0.72 billion.
Machine Learning (ML) Evolution of CNN Architectures: LeNet, AlexNet, ZFNet, GoogleNet, VGG and ResNet It all started with LeNet in 1998 and eventually, after nearly 15 years, lead to ground breaking models winning the ImageNet Large Scale Visual Recognition Challenge which includes AlexNet in 2012, ZFNet in 2013, GoogleNet in 2014, VGG in 2014, ResNet in 2015 to ensemble of previous models in 2016.
Machine Learning (ML) Run a ResNet34 model in ONNX format on TVM Stack with LLVM backend In this guide, we will run a ResNet34 model in ONNX format on the TVM Stack with LLVM backend. You do not need any specialized equipment like GPU and TPU to follow this guide. A simple CPU is enough.
Machine Learning (ML) Run a ResNet18 model in ONNX format on TVM Stack with LLVM backend In this guide, we will run a ResNet18 model in ONNX format on the TVM Stack with LLVM backend. You do not need any specialized equipment like GPU and TPU to follow this guide. A simple CPU is enough.
Machine Learning (ML) Run a ResNet101 model in ONNX format on TVM Stack with LLVM backend In this guide, we will run a ResNet101 model in ONNX format on the TVM Stack with LLVM backend. You do not need any specialized equipment like GPU and TPU to follow this guide. A simple CPU is enough.
Machine Learning (ML) Run a ResNet152 model in ONNX format on TVM Stack with LLVM backend In this guide, we will run a ResNet152 model in ONNX format on the TVM Stack with LLVM backend. You do not need any specialized equipment like GPU and TPU to follow this guide. A simple CPU is enough.
Machine Learning (ML) Run a ResNet50 model in ONNX format on TVM Stack with LLVM backend In this guide, we will run a ResNet50 model in ONNX format on the TVM Stack with LLVM backend. You do not need any specialized equipment like GPU and TPU to follow this guide. A simple CPU is enough.