Become a “Deep Learning” Pro

AI Colleagues, this “Deep Learning” program will equip you with leading-edge and high-demand skills to boost your career. Become an expert in neural networks, and learn to implement them using the deep learning framework PyTorch. Learn to leverage the capabilities of deep learning tools to fix complex problems and unlock next-level results for enterprises (4 months to complete).  Join the next generation of deep learning talent that will help define a highly beneficial AI-powered future for our world. In this program, you’ll study cutting-edge topics such as neural networks, convolutional neural networks, recurrent neural networks, and generative adversarial networks. Training modules and hands-on projects will cover: 1) Introduction to Deep Learning - grasp the fundamentals of deep learning. Then examine the foundational algorithms underpinning modern deep learning: gradient descent and backpropagation. Once those foundations are established, explore design constructs of neural networks and the impact of these design decisions. Finally, the course explores how neural network training can be optimized for accuracy and robustness (Project: Developing a Handwritten Digits Classifier with PyTorch), 2) Convolutional Neural Networks - the most widely used type of neural networks specialized in image processing. You will learn the main characteristics of CNNs that make them better than standard neural networks for image processing. Then you’ll examine the inner workings of CNNs and apply the architectures to custom datasets using transfer learning. Finally, you will learn how to use CNNs for object detection and semantic segmentation (Projects: Landmark Classification and Tagging for Social Media), 3) RNNs & Transformers - learn multiple RNN architectures and design patterns for those models. Additionally, you’ll focus on the latest transformer architectures (Project: Text Translation and Sentiment Analysis using Transformers), 3) Building Generative Adversarial Networks - build your expertise with generative adversarial networks (GANs) by learning how to build and train different GANs architectures to generate new images. Discover, build, and train architectures such as DCGAN, CycleGAN, ProGAN, and StyleGAN on diverse datasets including the MNIST dataset, Summer2Winter Yosemite dataset, or CelebA dataset (Project: Facial Generation). This program includes real-world projects from industry experts, real-time support, career services and a flexible learning program

Enroll today (teams & executives are welcome): https://tinyurl.com/6xz839fk 

Download your free AI-ML-DL - Career Transformation Guide.

Listen to the ““ChatGPT - The Era of Generative Conversational AI Has Begun” audiobook on Audible. (https://tinyurl.com/bdfrtyj2) or 

Read the ebook today on Amazon Kindle (https://tinyurl.com/jfntsyj2) 

Much career success, Lawrence E. Wilson - AI Academy (share with your team)