Sep 6 – 8, 2023
Universidad Católica del Norte
America/Santiago timezone

Abstract & Short Bio Mg. Israel Chaparro

Speaker: Mg. Israel Chaparro


Fundamentals of Deep Learning


Businesses around the world are using artificial intelligence to solve their biggest challenges. Healthcare professionals use AI to enable faster and more accurate diagnoses in patients. Retail companies use it to offer personalized shopping experiences to customers. Car manufacturers use it to make personal vehicles, shared mobility, and delivery services safer and more efficient. Deep learning is a powerful approach to AI that uses multi-layered artificial neural networks to provide cutting-edge accuracy in tasks like object detection, speech recognition, and language translation. Through the use of deep learning, computers can learn and recognize data patterns that are considered too complex or subtle for software written by experts.

In this workshop, you will learn how deep learning works through practical exercises in computer vision and natural language processing. You will train deep learning models from scratch, learning tools and tricks to achieve highly accurate results. You'll also learn how to take advantage of freely available, pre-trained, cutting-edge models to save time and get your deep learning application up and running quickly.

Short Bio

He is a Lecturer of Algorithms, Data Structures, and AI/DL at the Department of Computer Science and Systems Engineering, Universidad Nacional Jorge Basadre Grohmann - Tacna, Perú. B.Sc., Computer Science and Systems, Universiad Nacional Jorge Basadre Grohmann - Tacna, Perú. M.Sc.(c) Systems Engineering and Computer Science, Universidad Nacional Jorge Basadre Grohmann - Tacna, Perú. M.Sc.(c) Computer Science, Universidad Católica San Pablo - Arequipa, Perú. Israel Chaparro is also a University Ambassador and Certified Platinum Instructor of the NVIDIA Deep Learning Institute. Before joining UNJBG, he created and coached the PC_ESIS (Undergraduate Program Competitive Programming Group) and is currently a co-researcher in projects that aim to generate regional impact using data science and artificial intelligence.