Course details

Convolutional Neural Networks: Implementing & Training

Convolutional Neural Networks: Implementing & Training


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

Discover how to implement convolutional neural network (CNN) extended applications and train CNNs using Keras, TensorFlow, and PyTorch.



Expected Duration (hours)
0.5

Lesson Objectives

Convolutional Neural Networks: Implementing & Training

  • implement image recognition classifier using convolutional neural networks, Keras, and TensorFlow
  • describe ResNet layers and blocks
  • list the essential PyTorch ecosystem tools that can be used to develop and implement neural networks
  • install and configure PyTorch
  • implement convolutional neural networks (CNNs) using PyTorch
  • use PyTorch to train convolutional neural networks (CNNs) to categorize garments
  • install and configure PyTorch and implement convolutional neural networks (CNNs) using PyTorch
  • Course Number:
    it_mlodcndj_02_enus

    Expertise Level
    Intermediate