Intermediate Deep Learning with PyTorch

Overview

Title: Intermediate Deep Learning with PyTorch

Description: Delve into the world of AI and master the use of fundamental deep learning architectures—including CNNs (Convolutional Neural Networks), RNNs (Recurrent Neural Networks), LSTMs (Long Short-Term Memory), and GRUs (Gated Recurrent Units)—to model complex image and sequential data. This course provided by DataCamp will enhance your understanding of how deep learning, a dynamic subset of machine learning, fuels significant breakthroughs in key areas like computer vision, natural language processing, and speech recognition. By exploring and building deep learning models with PyTorch, you will gain proficiency in crafting sophisticated image and sequence models, all while familiarizing yourself with essential network architectures. Ready to elevate your skills in pivotal AI technologies and apply them to real-world applications? Join us for an in-depth exploration into the realms of deep learning.

Categories: Deep Learning Courses, PyTorch Courses, Image Classification Courses

Provider: DataCamp

University:

Syllabus

Taught by

Michał Oleszak

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