{"id":14442,"date":"2026-08-10T11:13:50","date_gmt":"2026-08-10T11:13:50","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/linkedin-neural-networks-and-convolutional-neural-networks-essential-training-2026-1\/"},"modified":"2026-08-10T11:13:50","modified_gmt":"2026-08-10T11:13:50","slug":"linkedin-neural-networks-and-convolutional-neural-networks-essential-training-2026-1","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/linkedin-neural-networks-and-convolutional-neural-networks-essential-training-2026-1\/","title":{"rendered":"LinkedIn \u2013 Neural Networks and Convolutional Neural Networks Essential Training 2026-1"},"content":{"rendered":"
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Description<\/h2>\n

Neural Networks and Convolutional Neural Networks Essential Training is a course focused on neural networks and convolutional neural networks (CNNs) published by LinkedIn Online Academy. This is a practical, hands-on course that teaches you the basics of deep learning, focusing on neural networks and convolutional neural networks (CNNs)\u2014the core technologies behind image recognition, pattern recognition, and many modern AI systems. You\u2019ll learn how artificial neurons work, how networks are structured and trained using backpropagation and gradient descent, and how activation functions, loss functions, and optimizers shape model learning. The course then turns to CNNs, showing you how convolutional layers, pooling, and feature maps make them ideal for analyzing visual data and extracting hierarchical patterns.<\/p>\n

Instructor Jonathan Fernandez demonstrates how to build and train models in Keras and PyTorch using datasets like MNIST and CIFAR-10 for image classification. Apply activation functions, post-propagation, pooling techniques, and optimizers to boost model performance. Gain hands-on experience with essential datasets and pre-trained models that support modern computer vision, including techniques like image augmentation and transfer learning. By the end, you will be able to design, train, and deploy basic neural networks and powerful CNN models for real-world tasks, and key topics including network architecture, training workflows, convolution operations, model evaluation, and practical deployment are covered, all in a cohesive learning experience.<\/p>\n

What you will learn in Neural Networks and Convolutional Neural Networks Essential Training:<\/h3>\n