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Welcome to a new age where intelligent machines can see and understand the world! This course, "Deep Learning - Convolutional Neural Networks," offers an accessible way to learn about Convolutional Neural Networks (ConvNets) using Python. ConvNets have revolutionized computer vision, enabling advancements like self-driving cars, automated medical ...

In this course, “Troubleshooting and Improving Neural Network Performance - Dhiraj Kumar,” you will learn key concepts of improving the performance of neural networks from a dataset practitioner’s point of view. Over the course’s duration, you will become acquainted with numerous types of troubleshooting techniques developed for neural networks by ...

Learn about the possibilities of computer vision in the automation of analyzing visual information beyond human potentialities in the course “Object Detection Recognition and Tracking - Xavier Morera.” Let’s explore the staple of image classification using Tensorflow, where Users can explain the main principles of a neural network in this field. ...

Dive into advanced Physics-Informed Neural Networks (PINNs) using NVIDIA Modulus with the "NVIDIA Modulus: Advanced Topics” course. Discover subjects like I-PINNs, DeepONet, FNO, PINNs for 3D Linear Elasticity Problems, Multi-Domain Calculation, and Geometric Optimization. Understand how and when to develop novel grading schemes for PINNs and how ...