3.4 Error Function or Loss Function or Cost Function (Prelude to Gradient Descent) скачать в хорошем качестве

3.4 Error Function or Loss Function or Cost Function (Prelude to Gradient Descent)

Full Course Link (COURSE CREATION IS STILL IN PROGRESS - done till section 3) https://3aayaam.graphy.com/courses/Ge... This is the GenAI foundation course in GenAI using ChatGPT (OpenAI) and Gemini (Google). The purpose of this course is to teach GenAI from ground up. It is a know fact that AI is going to stay, and it would be easier for us if we accept that fact. The hype is very much overrated, but the usage is real. The SUPERHYPE around GenAI will subside, but not the usage in near future. So it becomes imperative for all developers, architects, managers, data engineers, data architects etc. to get going with GenAI. This course is meant for that. Following is the high level content of the course: Section 1 - Terminologies, jargons and basics of mathematics that would be needed to learn and work on GenAI. Section 2 - Machine Learning concepts needed in GenAI. Explained using the very basic equation y = wx + b Section 3 - Learn the Transformer Architecture end-to-end. How Encoder & Decoder works and which AI models use them. Section 4 - GenAI Concepts : Foundation Models, Pre-Training, Evaluating GenAI output, Prompt Engineering, Finetuning, RAG. Section 5 - Start Developing using GenAI (Gemini & ChatGPT) SDKs Section 6 - Solve use cases using Gemini & ChatGPT Section 7 - Agentic AI (AI Agents) Section 8 - Projects Section 9 - New Features & Launches