The NVIDIA: Fundamentals of Deep Learning Course is the second course in the Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs Associate specialization. It introduces learners to core deep learning concepts and techniques, building on foundational machine learning principles.



NVIDIA: Fundamentals of Deep Learning
This course is part of Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs Specialization

Instructor: Whizlabs Instructor
Access provided by New York State Department of Labor
Recommended experience
What you'll learn
Understand deep learning fundamentals, including neuron data processing and model training.
Implement multi-class classification and CNNs for image recognition tasks.
Apply transfer learning with pre-trained models to improve deep learning performance.
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4 assignments
February 2025
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There are 2 modules in this course
Welcome to Week 1 of the NVIDIA: Fundamentals of Deep Learning course. This week, we will cover the basics of Deep Learning. We will explore how data is processed in a neuron and learn about Gradient Descent. Next, we will demonstrate Training a Perceptron and dive into Forward Propagation and Backward Propagation in deep learning networks. Finally, we will look at Activation Functions with a practical demo. By the end of the week, you will have a strong understanding of these core concepts.
What's included
9 videos2 readings2 assignments1 discussion prompt
Welcome to Week 2 of NVIDIA: Fundamentals of Deep Learning course. This week, we will dive into Advanced Deep Learning Techniques, where we will learn about Multi-Class Classification using the MNIST Dataset and explore how deep learning models can be applied for classification tasks. We will cover training a multiclass classifier and methods to fit and evaluate the model's performance. Next, we will gain a deep understanding of Convolutional Neural Networks (CNNs), which are essential for image recognition tasks. We will also explore Transfer Learning Techniques, which allow us to leverage pre-trained models for new tasks. By the end of the week, we will implement Transfer Learning on an Image Dataset through a practical demo, reinforcing your understanding of these advanced techniques.
What's included
5 videos3 readings2 assignments
Instructor

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