Highlights: Hello and welcome to our new post. In today’s post, we will discuss one of the most common problems that arise during the training of deep neural networks. It is called overfitting, and it usually occurs when we increase the complexity of the network. In this post, you will learn the most common techniques to reduce overfitting while training neural networks. So, let’s begin. Tutorial Overview: What is overfitting? Common tehniques to reduce the…
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Highlights: Hello and welcome to our new post. Today, we’ll discuss another popular method used to improve the performance of your deep neural network called batch normalization. It is a technique for training deep neural networks that standardizes the inputs to a layer for each mini-batch. After finishing the theoretical part, we will explain how to implement batch normalization in Python using PyTorch. So, let’s begin with our lecture. Tutorial Overview: Data Normalization and Standardization Batch Normalization…
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Highlights: Hi and welcome to our new post. In this post, we are going to talk about very popular deep learning techniques that we can apply to speed up training and improve the performance of our deep learning model. You will learn how you can use transfer learning and some other popular methods like data augmentation and scheduling the learning rate. So, let’s begin. Tutorial Overview: What is Transfer learning? Transfer learning in PyTorch Scheduling…
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