In this post, we will learn how to implement an autoencoder to denoise images using TensorFlow and Keras. Introduction: Autoencoders are a type of neural network that can learn to reconstruct input data by encoding it into a lower-dimensional representation and then decoding it back to the original shape. Denoising autoencoders are specifically designed to …
In this post we will learn some basics about Artificial Neural Network(ANN) like Introduction to ANN, Architecture of ANN, Types of ANN and Advantages of ANN. INTRODUCTION An artificial neural network is a computional model based on the structure and functionality that resembles biological neural network. In ANN the neurons are interconnected to each other …
In this post, we will learn what is epoch in machine learning, and purpose of epochs in machine learning and some tips to train the model or machine with the epochs for better performance. What is Epoch? In machine learning, an epoch refers to a complete iteration through a dataset during the training phase of …