What's New in Our Catalog

Newest Releases

Build an AI-Powered Voice Journal with Whisper | View in the Skills Network Catalog

Journaling is hard when you have to type everything. What if you could just talk? Using OpenAI's Whisper model, you'll build an AI-powered voice journal that automatically transcribes your spoken thoughts into organized text entries. This project walks you through speech recognition and audio processing, taking you from raw audio to a working journal app. By the end, you'll have built a complete transcription system and learned how to apply speech-to-text AI to real-world problems.

Updates

PyTorch: Tensor, Dataset and Data Augmentation | View in the Skills Network Catalog

Data preparation plays a crucial role in effectively solving machine learning (ML) problems. PyTorch, a powerful deep learning framework, offers a plethora of tools to make data loading easy. The PyTorch: Tensor, Dataset and Data Augmentation course will provide you with a solid understanding of the basics and core principles of PyTorch, specifically focusing on tensor manipulation, dataset management, and data augmentation techniques.

Convolutional Neural Networks with PyTorch | View in the Skills Network Catalog

In this course you will gain practical skills to tackle real-world image analysis and computer vision challenges using PyTorch. Uncover the power of Convolutional Neural Networks (CNNs) and explore the fundamentals of convolution, max pooling, and convolutional networks. Learn to train your models with GPUs and leverage pre-trained networks for transfer learning. . Note, this course is a part of a PyTorch Learning Path, check Prerequisites Section.

Build a Neural Network with PyTorch | View in the Skills Network Catalog

In this course, you will be focusing on how PyTorch creates and Neural Network optimizes models. We will quickly iterate through different aspects of PyTorch Neural Networks, giving you strong foundations and all the prerequisites you need to build deep learning models. Designed for students and professionals interested in machine learning and deep learning, this course offers a comprehensive understanding of the theory and practical applications of building and deploying neural networks. Note, this course is a part of a PyTorch Learning Path, check Prerequisites section.

Classification with PyTorch | View in the Skills Network Catalog

Designed for students and enthusiasts, this course equips you with the knowledge and practical skills to build powerful and accurate classification models using PyTorch. It offers a hands-on learning experience, allowing you to apply your knowledge through coding exercises and lessons so by the end of the course, you will possess the skills to build, train, and evaluate classification models using PyTorch. "Classification with PyTorch" is a part of a PyTorch Learning Path, check Prerequisites.