Practical Deep Learning for Coders v3 (using fastai library) In recent years, the field of machine learning has been rapidly advancing, and deep learning has emerged as a powerful tool in the hands of data scientists and engineers. However, despite its potential, deep learning can be challenging to learn and implement, requiring a strong background in math, statistics, and computer science. That's where the Practical Deep Learning for Coders course comes in. This course is designed to teach you how to implement deep learning techniques using the fastai library, a high-level interface built on top of PyTorch that simplifies the process of building and training deep neural networks. The course is based on the latest version of the fastai library (v3), which offers a range of powerful tools and techniques for solving real-world problems in areas such as image classification, natural language processing, and recommendation systems. Over the course of the program, you'll learn the fundamental principles of deep learning and how to apply them to a wide range of tasks. You'll learn how to use the fastai library to build and train deep neural networks, how to preprocess data to get it ready for deep learning, and how to fine-tune pre-trained models to improve their performance on specific tasks. The course is designed with practicality in mind, and you'll spend the majority of your time working on hands-on projects and exercises that will help you build a strong foundation in deep learning. You'll work with a variety of datasets, including images, text, and structured data, and you'll learn how to use tools like Jupyter notebooks, Google Colab, and AWS to run your code and train your models. In addition to the technical skills, you'll also learn how to approach deep learning problems in a systematic and effective way, including how to diagnose and debug common issues that arise during training. Whether you're a seasoned coder or just getting started with machine learning, the Practical Deep Learning for Coders v3 (using fastai library) course offers a comprehensive and practical introduction to one of the most powerful tools in modern data science.