GigaCourse Com Udemy Machine Learning Data Science and Generative AI with Python

/14 - Retrieval Augmented Generation (RAG)/002 Demo Using Retrieval Augmented Generation (RAG) to simulate Data from Star Trek_en.srt

/14 - Retrieval Augmented Generation (RAG)/002 Demo Using Retrieval Augmented Generation (RAG) to simulate Data from Star Trek.mp4

/14 - Retrieval Augmented Generation (RAG)/001 Retrieval Augmented Generation (RAG) How it works, with some examples_en.srt

/14 - Retrieval Augmented Generation (RAG)/001 Retrieval Augmented Generation (RAG) How it works, with some examples.mp4

/13 - The OpenAI API (Developing with GPT and ChatGPT)/006 [Demo] Fine-Tuning OpenAI's Davinci Model to simulate Data from Star Trek_en.srt

/14 - Retrieval Augmented Generation (RAG)/002 Data-RAG.ipynb

/13 - The OpenAI API (Developing with GPT and ChatGPT)/006 [Demo] Fine-Tuning OpenAI's Davinci Model to simulate Data from Star Trek.mp4

/10 - Deep Learning and Neural Networks/016 Deep Learning Regularization with Dropout and Early Stopping_en.srt

/10 - Deep Learning and Neural Networks/015 Tuning Neural Networks Learning Rate and Batch Size Hyperparameters_en.srt

/11 - Generative Models/001 Variational Auto-Encoders (VAE's) - how they work_en.srt

/11 - Generative Models/002 Variational Auto-Encoders (VAE) - Hands-on with Fashion MNIST_en.srt

/11 - Generative Models/003 Generative Adversarial Networks (GAN's) - How they work_en.srt

/11 - Generative Models/004 Generative Adversarial Networks (GAN's) - Playing with some demos_en.srt

/09 - Experimental Design ML in the Real World/005 Determining How Long to Run an Experiment_en.srt

/11 - Generative Models/005 Generative Adversarial Networks (GAN's) - Hands-on with Fashion MNIST_en.srt

Showing first 15 files of 297 total files