Deep Learning Literacy | Path [2022, ENG] torrent

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Deep Learning Literacy | Path

Год выпуска: 2022
Производитель: Pluralsight
Сайт производителя://app.pluralsight.com/paths/skills/deep-learning-literacy
Автор: Коллектив авторов
Продолжительность: 6h 37m
Тип раздаваемого материала: Видеоурок
Язык: Английский
Описание: Deep learning is part of a broader family of machine learning methods based on artificial neural networks with representation learning. Learning can be supervised, semi-supervised or unsupervised.

This path is focused on Deep Learning popular algorithms. We have pulled a series of examples to demonstrate how deep learning is embedded in our day to day lives. These are "just in time" sort of courses that reflect the journey from problem to solution.

The path is curated for Data enthusiasts that are eager to learn about Deep learning and foray into Data centered roles like Data scientist. This path will contain workable solutions

Prerequisites: Understanding of algorithms used in the path. Though it is desired but not mandatory Understanding of Deep Learning Key concepts

Related Topics: Deep Learning Literacy — Practical Application | Path
Machine Learning Literacy — Practical Application | Path
Machine Learning Literacy | Path
Feature Engineering | Path
Data Analytics Literacy ► Data Science Literacy | Path
Python for Data Analysts | Path
Core Python | Path
[spoiler="Содержание"]
1. Literacy Essentials. Core Concepts Deep Learning (Pratheerth Padman, 2021)
2. Literacy Essentials. Core Concepts Neural Network (Abdul Rehman Yousaf, 2021)
3. Literacy Essentials. Core Concepts Convolutional Neural Network (Alex Schultz, 2021)
4. Literacy Essentials. Core Concepts Recurrent Neural Networks (Abdul Rehman Yousaf, 2022)
5. Literacy Essentials. Core Concepts Generative Adversarial Network (Jerry Kurata, 2022)
6. Literacy Essentials. Core Concepts Recommender Systems (Biswanath Halder, 2022)
7. Literacy Essentials. Core Concepts Data Normalization (Ifedayo Bamikole, 2022)
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Файлы примеров: присутствуют
Субтитры: присутствуют
Формат видео: MP4
Видео: H.264/AVC, 1280x720, 16:9, 30fps, 110 kb/s
Аудио: AAC 48000Hz 2.0 chn 96 kbit/s
[spoiler="Скриншоты"]
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