Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

Colleagues, the “Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning” program is part of the DeepLearning.AI TensorFlow Developer Professional Certificate. Learn best practices for using TensorFlow, a popular open-source machine learning framework. Build a basic neural network in TensorFlow. Train a neural network for a computer vision application. Understand how to use convolutions to improve your neural network. Gain high-demand skills in Computer Vision, Tensorflow and Machine Learning. The Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new DeepLearning.AI TensorFlow Developer Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization. Skill-based training modules include: 1) A New Programming Paradigm, 2) Introduction to Computer Vision, 3) Enhancing Vision with Convolutional Neural Networks, and 4) Using Real-world Images. 

Enroll today (teams & execs welcome): http://imp.i384100.net/21ZjKD 

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)