Recurrent

Linkedin Learning – Recurrent Neural Networks

Linkedin Learning – Recurrent Neural Networks-XQZT
English | Tutorial | Size: 148.50 MB


Learn the basics of recurrent neural networks to get up and running with RNN quickly
Get started with recurrent neural network (RNN) concepts in a simplified way and build simple applications with RNNs and Keras.

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 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.

Cloud Academy – Zero to Deep Learning Bootcamp Three – Working with Convolutional and Recurrent Neural Networks

Cloud Academy – Zero to Deep Learning Bootcamp Three – Working with Convolutional and Recurrent Neural Networks
English | Size: 2.69 GB
Category: Tutorial


This Learning Path is the third and final of three Learning Paths in the Zero to Deep Learning Bootcamp Cloud Academy has developed in collaboration with Deep Learning expert Francesco Mosconi from Calalit. The Zero to Deep Learning Bootcamp has been developed to help you master Working with Convolutional and Recurrent Neural Networks in an interactive, self paced format.

Cloud Academy – Getting Started With Deep Learning Recurrent Neural Networks

Cloud Academy – Getting Started With Deep Learning Recurrent Neural Networks-STM
English | Size: 638.38 MB
Category: Tutorial

From the internals of a neural net to solving problems with neural networks to understanding how they work internally, this course expertly covers the essentials needed to succeed in machine learning.