Course details

Build & Train RNNs: Implementing Recurrent Neural Networks

Build & Train RNNs: Implementing Recurrent Neural Networks


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

Learners will examine the concepts of perception, layers of perception, and backpropagation, and discover how to implement recurrent neural network by using Python, TensorFlow, and Caffe2 in this 10-video course. Begin by taking a look at the essential features and processes of implementing perception and backpropagation in machine learning neural networks. Next, you will compare single-layer perception and multilayer perception and describe the need for layer management. You will learn about the steps involved in building recurrent neural network models; building recurrent neural networks with Python and TensorFlow; implementing long short-term memory (LSTM) by using TensorFlow, and building recurrent neural networks with Caffe2. Caffe is a deep learning framework. Building deep learning language models using Keras—an open source neural network library—will be explored in the final tutorial of the course. The concluding exercise entails implementing recurrent neural networks by using TensorFlow and Caffe2 and building deep learning language models by using Keras.



Expected Duration (hours)
0.8

Lesson Objectives

Build & Train RNNs: Implementing Recurrent Neural Networks

  • Course Overview
  • identify the essential features and processes of implementing perception and backpropagation
  • compare single and multilayer perception and describe the need for layer management
  • describe the steps involved in building recurrent neural network models
  • implement recurrent neural network using Python and TensorFlow
  • implement long short-term memory using TensorFlow
  • recognize the capabilities provided by Caffe2 for implementing neural networks
  • implement recurrent neural network using Caffe2
  • build deep learning language models using Keras
  • implement RNN using TensorFlow and Caffe2 and build deep learning language models using Keras
  • Course Number:
    it_mlbtrndj_02_enus

    Expertise Level
    Intermediate