Saul Dobilas – Medium

Saul Dobilas
in
Towards Data Science

Reinforcement Learning with SARSA — A Good Alternative to Q-Learning Algorithm

How to teach an intelligent agent to play simple games using State-Action-Reward-State-Action (SARSA) algorithm

13 min readOct 20, 2022

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Reinforcement Learning with SARSA — A Good Alternative to Q-Learning Algorithm

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Saul Dobilas
in
Towards Data Science

Q-Learning Algorithm: How to Successfully Teach an Intelligent Agent to Play A Game?

A detailed explanation of a Reinforcement Learning algorithm called Q-Learning with a step-by-step Python example

15 min readOct 4, 2022

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Q-Learning Algorithm: How to Successfully Teach an Intelligent Agent to Play A Game?

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Saul Dobilas
in
Towards Data Science

Reinforcement Learning (RL) — What Is It and How Does It Work?

A gentle introduction to Reinforcement Learning with a clear explanation of concepts and terminology

8 min readSep 26, 2022

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Reinforcement Learning (RL) — What Is It and How Does It Work?

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Saul Dobilas
in
Towards Data Science

cGAN: Conditional Generative Adversarial Network — How to Gain Control Over GAN Outputs

An explanation of cGAN architecture with a detailed Python example

12 min readAug 1, 2022

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cGAN: Conditional Generative Adversarial Network — How to Gain Control Over GAN Outputs

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Saul Dobilas
in
Towards Data Science

Deep Convolutional GAN — How to Use a DCGAN to Generate Images in Python

An overview of DCGAN architecture with a step-by-step guide to building it yourself

12 min readJul 13, 2022

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Deep Convolutional GAN — How to Use a DCGAN to Generate Images in Python

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Saul Dobilas
in
Towards Data Science

GANs: Generative Adversarial Networks — An Advanced Solution for Data Generation

A comprehensive explanation of what GANs are, how they work and how to build them in Python

11 min readJun 27, 2022

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GANs: Generative Adversarial Networks — An Advanced Solution for Data Generation

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Saul Dobilas
in
Towards Data Science

Transposed Convolutional Neural Networks — How to Increase the Resolution of Your Image

A Detailed Explanation of Transposed Convolutions with a Simple Python Example

9 min readJun 6, 2022

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Transposed Convolutional Neural Networks — How to Increase the Resolution of Your Image

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Saul Dobilas
in
Towards Data Science

Sparse Autoencoder Neural Networks — How to Utilise Sparsity for Robust Information Encoding

A comparison between Undercomplete and Sparse AE with a detailed Python example

9 min readMay 3, 2022

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Sparse Autoencoder Neural Networks — How to Utilise Sparsity for Robust Information Encoding

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Saul Dobilas
in
Towards Data Science

VAE: Variational Autoencoders — How to Employ Neural Networks to Generate New Images

An overview of VAEs with a complete Python example that teaches you how to build one yourself

12 min readApr 18, 2022

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VAE: Variational Autoencoders — How to Employ Neural Networks to Generate New Images

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Saul Dobilas
in
Towards Data Science

Denoising Autoencoders (DAE) — How To Use Neural Networks to Clean Up Your Data

A guide to building a DAE in Python with Tensorflow / Keras libraries

9 min readApr 4, 2022

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Denoising Autoencoders (DAE) — How To Use Neural Networks to Clean Up Your Data

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Saul Dobilas

Saul Dobilas

Demystifying Data Science and Machine Learning | Let’s connect on LinkedIn 🤝 https://bit.ly/SaulD | Join me on Medium 🤓 https://bit.ly/SolClover

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