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Data Scientist, developer, teacher and writer. Author of "Deep Learning with PyTorch Step-by-Step: A Beginner’s Guide"
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Update (May 18th, 2021): Today I’ve finished my book: Deep Learning with PyTorch Step-by-Step: A Beginner’s Guide.

Introduction

PyTorch is the fastest growing Deep Learning framework and it is also used by Fast.ai in its MOOC, Deep Learning for Coders and its library.

PyTorch is also very pythonic, meaning, it feels…


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As I write these lines, I'm a few days away from releasing the last two chapters of my book, "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide". …


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The content of this post is a partial reproduction of a chapter from the book: Deep Learning with PyTorch Step-by-Step: A Beginner’s Guide”.

Introduction

What do gradient descent, the learning rate, and feature scaling have in common? Let's see…

Every time we train a deep learning model, or any neural network…


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TLDR;

HandySpark is a Python package designed to improve PySpark user experience, especially when it comes to exploratory data analysis, including visualization capabilities and, now, extended evaluation metrics for binary classifiers.

Try it yourself using Google Colab:

Check the repository:

Introduction

In my previous post, I introduced HandySpark, a package for PySpark


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Através da comida?!

Isso mesmo, através da comida! :-)

Imagine que você está pedindo uma pizza e, em pouco tempo, você recebe aquela pizza linda, quentinha e deliciosa entregue na sua casa.

Alguma vez você já pensou em todos os passos envolvidos no processo que termina com a pizza entregue em sua casa…


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Through food?!

Yes, you got that right, through food! :-)

Imagine yourself ordering a pizza and, after a short while, getting that nice, warm and delicious pizza delivered to your home.

Have you ever wondered the workflow behind getting such a pizza delivered to your home? I mean, the full workflow, from…


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Introdução

Se você já treinou um classificador binário, você provavelmente usou a função de custo “binary cross-entropy” (entropia cruzada) ou “log loss”.

Mas você já pensou a respeito do que essa função de custo realmente significa? …


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Introduction

If you are training a binary classifier, chances are you are using binary cross-entropy / log loss as your loss function.

Have you ever thought about what exactly does it mean to use this loss function? …


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TLDR;

HandySpark is a new Python package designed to improve PySpark user experience, especially when it comes to exploratory data analysis, including visualization capabilities.

Update (March 9th, 2019): version 0.2.0


Photo by Jesper Aggergaard on Unsplash

Introduction

This is the second post of my series on hyper-parameters. In this post, I will show you the importance of properly initializing the weights of your deep neural network. …

Daniel Godoy

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