Viso.ai

DECEMBER 22, 2023

The Segment Anything Model Technical Backbone: Convolutional, Generative Networks, and More Convolutional Neural Networks (CNNs) and Generative Adversarial Networks (GANs) play a foundational role in the capabilities of SAM.

Convolutional Neural Networks 52

Convolutional Neural Networks Computer Vision Neural Network Auto-classification 52

Heartbeat

JUNE 27, 2023

Neural networks leverage the structure and properties of graph and work in a similar fashion. Graph Neural Networks are a class of artificial neural networks that can be represented as graphs. These tasks require the model to categorize edge types or predict the existence of an edge between two given nodes.

Neural Network 59

Neural Network Convolutional Neural Networks Auto-classification Deep Learning 59

Becoming Human

MARCH 16, 2023

This post includes the fundamentals of graphs, combining graphs and deep learning, and an overview of Graph Neural Networks and their applications. Through the next series of this post here , I will try to make an implementation of Graph Convolutional Neural Network. You can read more about auto-encoders here.

Neural Network 87

Neural Network Auto-classification Convolutional Neural Networks Auto-complete 87

PyImageSearch

FEBRUARY 6, 2023

def callbacks(): # build an early stopping callback and return it callbacks = [ tf.keras.callbacks.EarlyStopping( monitor="val_loss", min_delta=0, patience=2, mode="auto", ), ] return callbacks On Lines 12-22 , the function callbacks defines an early stopping callback and returns it. def normalize_layer(factor=1./127.5):

Auto-classification 144

Auto-classification Computer Vision Neural Network Deep Learning 144