Despite the introduction of LeNet, more advanced data such as high-resolution images can’t be used to train LeNet. It has 7 layers which are stacked up one over the other to recognize the digits written in the Bank Cheques. LeNet was the first Deep Neural Network that came into existence in 1998 to solve the digit recognition problem. In this post, we are going to cover ResNet-50 in detail which is one of the most vibrant networks on its own.Īlthough the object classification problem is a very old problem, people are still solving it to make the model more robust. The name ResNet followed by a two or more digit number simply implies the ResNet architecture with a certain number of neural network layers. same concept but with a different number of layers. There are many variants of ResNet architecture i.e. ResNet has achieved excellent generalization performance on other recognition tasks and won the first place on ImageNet detection, ImageNet localization, COCO detection and COCO segmentation in ILSVRC and COCO 2015 competitions. ResNet is one of the most powerful deep neural networks which has achieved fantabulous performance results in the ILSVRC 2015 classification challenge.
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