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Author: Strahinja Zivkovic

#001 Machine Learning – Introduction To Machine Learning

18.07.2022

Highlights: Machine Learning is one of the hottest career choices of the 21st century. Empowering oneself with the right skills to teach and train a machine is becoming imperative by the day. Considering popular demand by the industry and our dear subscribers, we are starting a fresh tutorial series on Machine Learning. In this blog post, you will learn about the basics of Machine Learning, key challenges and problems that Machine Learning can tackle and…
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#007 How to implement GAN Hacks to Train Stable Models?

05.04.2022

Highlights: In this post, we are going to learn several hacks that we can use to train stable GAN models. First, we are going to provide a quick recap of the GANs theory, and then, we are going to talk about challenges when training GANs. After that, we will provide solutions for these challenges in Python. So, let’s begin with our post. Tutorial Overview: Challenges when training GANs Heuristics for Training Stable GANs Architecture for guidelines…
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#006 GANs – How to Develop a 1D GAN from Scratch

05.04.2022

Highlight: In this post, we will briefly review the theory behind Generative Adversarial Networks and then we will learn to implement that knowledge in PyTorch. We will actually build our first GAN from scratch so that all the details are demystified. Initially, we will start with generator modeling or faking a simple 1D function (sine wave). In the later posts, we will build on the fundamental GAN architecture presented in this post.  Tutorial Overview: GAN…
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#018 PyTorch – Popular techniques to prevent the Overfitting in a Neural Networks

08.11.2021

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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#017 PyTorch – How to apply Batch Normalization in PyTorch

08.11.2021

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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