• Online, Instructor-Led
Course Description

The Certified Neural Network Specialist™ (CNNS™) Certification Course by Tonex is a comprehensive program designed to equip participants with advanced knowledge and skills in the field of neural networks. This course delves into the intricacies of neural network architectures, algorithms, and applications, providing a thorough understanding of this cutting-edge technology. Tonex’s Certified Neural Network Specialist™ (CNNS™) Certification Course offers a comprehensive, hands-on program for professionals aspiring to excel in neural networks. It covers architectures, algorithms, and applications, emphasizing ethical deployment and industry-recognized exams, paving the way for career advancement in artificial intelligence and machine learning.

Learning Objectives

  • Understand the fundamentals of neural networks and their applications.
  • Learn the mathematical principles behind neural network architecture and design.
  • Explore various activation functions and their impact on neural network performance.
  • Master the process of data preprocessing and feature engineering for neural network inputs.
  • Develop skills in selecting and implementing appropriate neural network architectures for specific tasks.
  • Gain proficiency in training neural networks using different optimization algorithms.
  • Understand the importance of hyperparameter tuning for optimizing neural network performance.
  • Explore advanced topics such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs).
  • Learn how to evaluate and interpret the performance of neural network models.
  • Develop hands-on experience with popular deep learning frameworks like TensorFlow and PyTorch.
  • Explore ethical considerations and best practices in the deployment of neural network models.
  • Prepare for real-world applications by working on practical projects and case studies.
  • Gain the knowledge and skills necessary to pass the Certified Neural Network Specialist™ (CNNS™) exam.

Framework Connections