ResNet: A Comprehensive Overview (2021) April 16, 2021No Comments Introduction A series of breakthroughs in the field of computer vision has occurred in recent years. We are getting state-of-the-art results on problems like image classification and image recognition, especially since the introduction of deep Convolutional neural networks. In this article, we will learn, resnet, resnet architecture, resnet model, and densenet vs resnet. Revisiting ResNet […] Read more → Introduction A series of breakthroughs in the field of computer vision has occurred in recent years. We are getting state-of-the-art results on problems like image classification and image recognition, especially since the introduction of deep Convolutional neural networks. In this article, we will learn, resnet, resnet architecture, resnet model, and densenet vs resnet. Revisiting ResNet […] VGG Neural Networks: All You Need To Know In 2021 No Comments Introduction AlexNet was a groundbreaking breakthrough when it was released in 2012.CNN’s, i.e., Convolutional Neural Networks, is one of the most successful image recognition models. Before VGG came along. In this article, we will discuss VGG, VGG architecture, and the VGG model. AlexNet DataSet VGG Neural Networks The Difference 1) AlexNet AlexNet is a convolutional neural network […] Read more → Introduction AlexNet was a groundbreaking breakthrough when it was released in 2012.CNN’s, i.e., Convolutional Neural Networks, is one of the most successful image recognition models. Before VGG came along. In this article, we will discuss VGG, VGG architecture, and the VGG model. AlexNet DataSet VGG Neural Networks The Difference 1) AlexNet AlexNet is a convolutional neural network […] BERT Explained In 3 Easy Points No Comments Introduction With the advancement in the field of Machine learning, a new model has been come up to become state-of-the-art. BERT. BERT stands for Bidirectional Encoder Representations from Transformers. It is developed by Google in 2019 and is a machine learning technique for natural language processing pre-training. BERT is designed for the pre-training of deep […] Read more → Introduction With the advancement in the field of Machine learning, a new model has been come up to become state-of-the-art. BERT. BERT stands for Bidirectional Encoder Representations from Transformers. It is developed by Google in 2019 and is a machine learning technique for natural language processing pre-training. BERT is designed for the pre-training of deep […]