Practical Deep Learning for Coders Part 2 Course Launch
Practical Deep Learning for Coders - Practical Deep Learning 🔗
A new video course titled "Practical Deep Learning for Coders part 2" has been launched, aimed at individuals with some coding experience who want to learn about deep learning and its practical applications. The course offers over 30 hours of content and covers various topics, including building and deploying deep learning models for tasks like computer vision and natural language processing. It utilizes popular libraries like PyTorch and fastai, and emphasizes hands-on learning through examples. The course is accessible to anyone with basic coding knowledge, and students can achieve impressive results even with minimal data and resources. Alumni have successfully transitioned to jobs in top tech companies, and the course is supported by a strong online community.
What is the prerequisite for the course?
The only prerequisite is having at least one year of coding experience, preferably in Python, and a basic understanding of high school math.
Is the course suitable for beginners in deep learning?
Yes, the course is designed to be accessible for programmers who may not have prior experience in machine learning or deep learning.
What software will be used in the course?
Students will primarily use PyTorch, fastai, Hugging Face Transformers, and Gradio throughout the course.