Concepts

PluralSight – Literacy Essentials: Core Concepts Recurrent Neural Networks

PluralSight – Literacy Essentials-core Concepts Recurrent Neural Networks Bookware-KNiSO
English | Size: 154.71 MB
Category: Tutorial


This course will teach the core concepts of artificial neural networks: what they are and how they structure along with the vectorization of neural networks to attain optimal performance.

PluralSight – Literacy Essentials-core Concepts

PluralSight – Literacy Essentials-core Concepts
English | Size: 154.71 MB
Category: Tutorial


This course will teach you how state of the art applications neural net applications such as time series, chat bots or language translation can be built with different types of Neural Networks using Python

PluralSight – Key Concepts Machine Learning

PluralSight – Key Concepts Machine Learning Bookware-KNiSO
English | Size: 207.11 MB
Category: Tutorial


This course will introduce you to the concepts needed to identify use-cases for Machine Learning, formulate an ML problem, enumerate the canonical problems that ML is used to solve, and detail how ML is applied to complex data such as text, images and speech.

PluralSight – Literacy Essentials-core Concepts Recurrent Neural Networks

PluralSight – Literacy Essentials-core Concepts Recurrent Neural Networks
English | Size: 154.71 MB
Category: Tutorial


This course will teach you how state of the art applications neural net applications such as time series, chat bots or language translation can be built with different types of Neural Networks using Python.