This section belongs to deep learning.
Introduction to Batch Size There are different data points in the dataset. When different data points group together, it makes a batch. These batches are further used in the training …
Deep Residual Network Definition The authors suggested a deep residual network (ResNet) for image identification in 2016. This kind of deep neural network (CNN) combines the outcome of the current …
Backward propagation of inaccuracy is an algorithm that is outlined to test for bugs working back from the output junction to the input junction. It is a main mathematical gadget …
In this article, we will discuss deep learning with examples and its applications from the real world. What is Deep Learning Deep learning and machine learning fall under the types …