{"id":20200115,"url":"https://github.com/trainingbypackt/deep-learning-with-r-for-beginners","last_synced_at":"2025-10-15T01:27:56.808Z","repository":{"id":60149974,"uuid":"185381833","full_name":"TrainingByPackt/Deep-Learning-with-R-for-Beginners","owner":"TrainingByPackt","description":"Design neural network models in R 3.5 using TensorFlow, Keras, and MXNet","archived":false,"fork":false,"pushed_at":"2019-05-17T06:29:17.000Z","size":10554,"stargazers_count":3,"open_issues_count":0,"forks_count":10,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-03-24T10:03:50.188Z","etag":null,"topics":["computer-vision","deep-learning","keras","machine-learning","mxnet","r"],"latest_commit_sha":null,"homepage":null,"language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/TrainingByPackt.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2019-05-07T10:46:09.000Z","updated_at":"2024-07-03T15:00:01.000Z","dependencies_parsed_at":"2022-09-25T22:25:00.634Z","dependency_job_id":null,"html_url":"https://github.com/TrainingByPackt/Deep-Learning-with-R-for-Beginners","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TrainingByPackt%2FDeep-Learning-with-R-for-Beginners","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TrainingByPackt%2FDeep-Learning-with-R-for-Beginners/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TrainingByPackt%2FDeep-Learning-with-R-for-Beginners/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TrainingByPackt%2FDeep-Learning-with-R-for-Beginners/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/TrainingByPackt","download_url":"https://codeload.github.com/TrainingByPackt/Deep-Learning-with-R-for-Beginners/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248208562,"owners_count":21065202,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["computer-vision","deep-learning","keras","machine-learning","mxnet","r"],"created_at":"2024-11-14T04:41:45.693Z","updated_at":"2025-10-15T01:27:56.695Z","avatar_url":"https://github.com/TrainingByPackt.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"[![GitHub issues](https://img.shields.io/github/issues/TrainingByPackt/Deep-Learning-with-R-for-Beginners.svg)](https://github.com/TrainingByPackt/Deep-Learning-with-R-for-Beginners/issues)\n[![GitHub forks](https://img.shields.io/github/forks/TrainingByPackt/Deep-Learning-with-R-for-Beginners.svg)](https://github.com/TrainingByPackt/Deep-Learning-with-R-for-Beginners/network)\n[![GitHub stars](https://img.shields.io/github/stars/TrainingByPackt/Deep-Learning-with-R-for-Beginners.svg)](https://github.com/TrainingByPackt/Deep-Learning-with-R-for-Beginners/stargazers)\n[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg)](https://github.com/TrainingByPackt/Deep-Learning-with-R-for-Beginners/pulls)\n\n# Deep Learning with R for Beginners\nDeep learning finds practical applications in several domains, while R is the preferred language for designing and deploying deep learning models.\n\nThis Learning Path introduces you to the basics of deep learning and even teaches you to build a neural network model from scratch. As you make your way through the chapters, you’ll explore deep learning libraries and understand how to create deep learning models for a variety of challenges, right from anomaly detection to recommendation systems. The book will then help you cover advanced topics, such as generative adversarial networks (GANs), transfer learning, and large-scale deep learning in the cloud, in addition to model optimization, overfitting, and data augmentation. Through real-world projects, you’ll also get up to speed with training convolutional neural networks (CNNs), recurrent neural networks (RNNs), and long short-term memory networks (LSTMs) in R.\n\nBy the end of this Learning Path, you’ll be well versed with deep learning and have the skills you need to implement a number of deep learning concepts in your research work or projects.\n\nDeep Learning with R for Beginners  by **Joshua F. Wiley**, **Mark Hodnett**, **Yuxi (Hayden) Liu** and **Pablo Maldonado**\n\n## What you will learn\n* Implement credit card fraud detection with autoencoders \n* Train neural networks to perform handwritten digit recognition using MXNet\n* Reconstruct images using variational autoencoders \n* Explore the applications of autoencoder neural networks in clustering and dimensionality reduction\n* Create natural language processing (NLP) models using Keras and TensorFlow in R\n* Prevent models from overfitting the data to improve generalizability\n* Build shallow neural network prediction models\n\n### Hardware requirements\nFor an optimal student experience, we recommend the following hardware configuration:\n* **Processor**: Intel Core i7 or equivalent\n* **Memory**: 8 GB RAM\n* **Storage**: 15 GB available space\n\n### Software requirements\nYou’ll also need the following software installed in advance:\n* **Operating system**: Windows 7, 8.1 or 10 64-bit, macOS High Sierra or Linux\n* **Browser**: Google Chrome, Latest Version\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftrainingbypackt%2Fdeep-learning-with-r-for-beginners","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftrainingbypackt%2Fdeep-learning-with-r-for-beginners","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftrainingbypackt%2Fdeep-learning-with-r-for-beginners/lists"}