Deep Learning: Advanced Computer Vision (GANs, SSD)

AI Colleagues, in the “Deep Learning: Advanced Computer Vision (GANs, SSD)” program you will learn VGG, ResNet, Inception, SSD, RetinaNet, Neural Style Transfer, GANs +More in Tensorflow, Keras, and Python. [116 lectures - 16+ hours of training]. Understand and apply transfer learning, convolutional neural nets such as VGG, ResNet and Inception, object detection algorithms like SSD, apply neural style transfer, computer vision topic, Class Activation Maps, GANs (Generative Adversarial Networks), Object Localization Implementation Project, and understand important foundations for OpenAI ChatGPT, GPT-4, DALL-E, Midjourney, and Stable Diffusion. Skill-based training modules include: 1) Google Colab & Getting Setup, 2) Machine Learning Basics, 3) Artificial Neural Networks (ANN), 4) Convolutional Neural Networks (CNN) Review, 5) VGG and Transfer Learning, 6) ResNet (and Inception), 7) Object Detection (SSD / RetinaNet), 8) Neural Style Transfer, 9) Class Activation Maps, 10) GANs (Generative Adversarial Networks), 11) Object Localization Project, 12) Keras and Tensorflow 2 Basics, 13) With Python Coding for Beginners, and 14) Effective Learning Strategies for Machine Learning.

Enroll today (teams & execs welcome): https://tinyurl.com/36cvnnr4 

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

For your listening-reading pleasure:

1 - “AI Software Engineer: ChatGPT, Bard & Beyond” (Audible) or (Kindle)  

2 - “ChatGPT - The Era of Generative Conversational AI Has Begun” (Audible) or (Kindle) 

3 - “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Audible) or (Kindle) 

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