NVIDIA: Fundamentals of Deep Learning

Colleagues, the “Fundamentals of Deep Learning” program is part of 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. The course covers neuron data processing, gradient descent, Perceptron training, forward and backward propagation, activation functions, and advanced techniques like multi-class classification and Convolutional Neural Networks (CNNs). Learners will also explore transfer learning through a hands-on demo. You will learn to: 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. And you will acquire highly marketable skills with Convolutional Neural Networks, Linear Algebra, Applied Machine Learning, Machine Learning, Image Analysis, Deep Learning, Model Training, Data Processing, Machine Learning Methods, Model Optimization, Computer Vision, Artificial Neural Networks, Transfer Learning, and Artificial Intelligence and Machine Learning (AI/ML). Moreover you will use valuable tools including Tensorflow, Classification Algorithms, Generative AI, and PyTorch (Machine Learning Library). 

Enroll today (teams & executives are welcome): https://imp.i384100.net/aNZyNj

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) (Kindle)

Much career success, AI Academy (please subscribe and share with your team)