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Hands-On Deep Learning with Go

This is the code repository for Hands-On Deep Learning with Go, published by Packt.

A practical approach to building neural network models using Gorgonia.

What is this book about?

The Go ecosystem comprises some really powerful Deep Learning tools. This book shows you how to use these tools to train and deploy scalable Deep Learning models. You will explore a number of modern Neural Network architectures such as CNNs, RNNs, and more. By the end, you will be able to train your own Deep Learning models from scratch, using the power of Go.

This book covers the following exciting features:

Explore the Go ecosystem of libraries and communities for deep learning
Get to grips with Neural Networks, their history, and how they work
Design and implement Deep Neural Networks in Go
Get a strong foundation of concepts such as Backpropagation and Momentum
Build Variational Autoencoders and Restricted Boltzmann Machines using Go
Build models with CUDA and benchmark CPU and GPU models

If you feel this book is for you, get your copy today!

Instructions and Navigations

All of the code is organized into folders. For example, Chapter02.

The code will look like the following:

type nn struct {
    g *ExprGraph
    w0, w1 *Node

    pred *Node
}

Following is what you need for this book: This book is for machine learning engineers, data analysts, data scientists interested in deep learning and are looking to explore implementing advanced algorithms in PyTorch. Some knowledge of machine learning is helpful but not a mandatory need. Working knowledge of Python programming is expected.

With the following software and hardware list you can run all code files present in the book (Chapter 1-10).

Software and Hardware List

We also provide a PDF file that has color images of the screenshots/diagrams used in this book. Click here to download it.

Deep Learning By Example [Packt] [Amazon]
Deep Learning with PyTorch [Packt] [Amazon]

Get to Know the Authors

Gareth Seneque is a machine learning engineer with 11 years’ experience of building and deploying systems at scale in the finance and media industries. He became interested in deep learning in 2014 and is currently building a search platform within his organization, using neuro-linguistic programming and other machine learning techniques to generate content metadata and drive recommendations. He has contributed to a number of open source projects, including CoREBench and Gorgonia. He also has extensive experience with modern DevOps practices, using AWS, Docker, and Kubernetes to effectively distribute the processing of machine learning workloads.

Darrell Chua is a senior data scientist with more than 10 years’ experience. He has developed models of varying complexity, from building credit scorecards with logistic regression to creating image classification models for trading cards. He has spent the majority of his time working with in fintech companies, trying to bring machine learning technologies into the world of finance. He has been programming in Go for several years and has been working on deep learning models for even longer. Among his achievements is the creation of numerous business intelligence and data science pipelines that enable the delivery of a top-of-the-line automated underwriting system, producing near-instant approval decisions.

Suggestions and Feedback

Click here if you have any feedback or suggestions.

Download a free PDF

If you have already purchased a print or Kindle version of this book, you can get a DRM-free PDF version at no cost.
Simply click on the link to claim your free PDF.

https://packt.link/free-ebook/9781789340990

Kuliah AI

Materi Kuliah AI, akses github : https://universitas.bukupedia.co.id/ws/

Daftar Nilai 3A

NPM	Nama	1	2	3	4
1194001	Ade Ilham Permadi	0	0	0	0
1194038	Alvaro Daniel Bamba	0	0	0	0
1194046	Ilham Ambar Rochmat	0	0	0	0
1194047	Linggo Prasetyo	0	0	0	0
1194049	M. Hadi Syatiri	0	0	0	0
1204003	Kholida Magfirah	100	0	0	0
1204004	Jose Chasey Pratama	100	100	100	100
1204007	Wulan Nur Annisah	100	0	0	0
1204008	Anggina Syarif	0	0	0	0
1204009	Dani Rahman Hasibuan	20	20	20	20
1204010	Azhari Hasibuan	0	0	0	0
1204011	Wildan Azril Arvany	100	100	100	100
1204013	Fauziah Henni Hasibuan	100	100	100	100
1204014	Anita Alfi Syahra	0	0	0	0
1204016	Dani Ardika Rahmadani	20	20	20	20
1204017	Surahmat	100	100	100	100
1204019	Adli Gunawan Bastin	20	20	20	20
1204021	Mayke Andani Rohmaniar	100	100	100	100
1204022	Hanan Destiarin Kishendrian	100	100	100	100
1204025	Christian Yuda Pratama	100	80	100	100
1204026	Haryadi Yusuf	100	100	100	100
1204027	Mustika Tiara Triani Br.Sirait	100	90	100	100

Daftar Nilai 3C

NPM	Nama	1	2	3	4
1204056	Rakasona	100	100	100	100
1204057	Zidan Alamsyah Amir	100	100	100	80
1204058	Bimo Arga Dewantoro	0	0	0	0
1204060	Valen Rionald	100	100	100	80
1204061	Nur Tri Ramadhanti Adiningrum	100	100	100	100
1204062	Argya Rijal Rafi	100	80	100	100
1204063	Algies Rifkha Fadillah	100	100	100	100
1204068	Hasna Zahidah	100	100	100	100
1204069	Grifaldi Alfiandra	0	0	0	0
1204071	Guna Dharma	100	100	100	80
1204075	Fathur Abdul Halim	0	0	0	0
1204076	Rifqi Fathurrohman	100	100	100	100
1204077	Bachtiar Ramadhan	100	100	100	100

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