- Learn advanced deep learning concepts and techniques.
- Analyze training methods for GANs and address common issues.
- Complete projects using GitHub Codespaces and Google Colab.
- Evaluate the structure of various neural network models.
Master AI & Data—50% Off Udacity (Code CC50)
AI Product Expert Certification - Master Generative AI Skills
Overview
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Explore the advanced world of deep learning and neural networks with this comprehensive learning path. Build and optimize deep neural models while leveraging cutting-edge AI technologies. Learn about generative adversarial networks (GANs) and deep convolutional generative adversarial networks (DCGANs). Gain hands-on experience with tools like GitHub Codespaces and Google Colab. Start today to deepen your expertise and accelerate your professional growth!
Syllabus
Courses under this program:
Course 1: Deep Learning: Getting Started
-Learn the basics of deep learning and get up and running with this technology.
Course 2: Artificial Intelligence Foundations: Neural Networks
-Learn the fundamental techniques and principles behind artificial neural networks.
Course 3: Deep Learning with Python: Convolutional Neural Networks
-Gain hands-on experience building, training, and evaluating convolutional neural networks (CNNs) using Python for image classification, object detection, and segmentation.
Course 4: AI Workshop: Build a Neural Network with PyTorch Lightning
-Learn how to build a neural network with PyTorch Lightning in this interactive, workshop-style coding course.
Course 5: Deep Learning with Python: Optimizing Deep Learning Models
-Leverage techniques for optimizing deep learning models and implementing them using Python.
Course 6: Introduction to Generative Adversarial Networks (GANs)
-Gain a better understanding of Generative Adversarial Networks (GANs), how they are created, how they train, and how they are able to create new media.
Course 7: AI Workshop: Hands-on with GANs Using Dense Neural Networks
-Learn how to build and train generative adversarial networks (GANs) using dense neural networks in this interactive, workshop-style coding course.
Course 8: AI Workshop: Hands-on with GANs with Deep Convolutional Networks
-Learn how to build and train deep convolutional generative adversarial networks (GANs) in this interactive, workshop-style coding course.
Course 1: Deep Learning: Getting Started
-Learn the basics of deep learning and get up and running with this technology.
Course 2: Artificial Intelligence Foundations: Neural Networks
-Learn the fundamental techniques and principles behind artificial neural networks.
Course 3: Deep Learning with Python: Convolutional Neural Networks
-Gain hands-on experience building, training, and evaluating convolutional neural networks (CNNs) using Python for image classification, object detection, and segmentation.
Course 4: AI Workshop: Build a Neural Network with PyTorch Lightning
-Learn how to build a neural network with PyTorch Lightning in this interactive, workshop-style coding course.
Course 5: Deep Learning with Python: Optimizing Deep Learning Models
-Leverage techniques for optimizing deep learning models and implementing them using Python.
Course 6: Introduction to Generative Adversarial Networks (GANs)
-Gain a better understanding of Generative Adversarial Networks (GANs), how they are created, how they train, and how they are able to create new media.
Course 7: AI Workshop: Hands-on with GANs Using Dense Neural Networks
-Learn how to build and train generative adversarial networks (GANs) using dense neural networks in this interactive, workshop-style coding course.
Course 8: AI Workshop: Hands-on with GANs with Deep Convolutional Networks
-Learn how to build and train deep convolutional generative adversarial networks (GANs) in this interactive, workshop-style coding course.
Taught by
Adam Geitgey, Adam Geitgey, Adam Geitgey, Adam Geitgey, Eduardo Corpeño, Jonathan Fernandes, Emmanuel Henri, Jonathan Fernandes and Derek Jedamski