Participante desde 2023
Como criar, treinar e implantar modelos de ML com o Keras no Google Cloud
Earned Apr 23, 2024 EDT
Computer Vision Fundamentals with Google Cloud
Earned Jun 20, 2023 EDT
Introdução à IA generativa
Earned Jun 18, 2023 EDT
Este curso ensina a criar modelos de ML com o TensorFlow e o Keras, melhorar a acurácia deles e desenvolver modelos para uso em escala.
This course describes different types of computer vision use cases and then highlights different machine learning strategies for solving these use cases. The strategies vary from experimenting with pre-built ML models through pre-built ML APIs and AutoML Vision to building custom image classifiers using linear models, deep neural network (DNN) models or convolutional neural network (CNN) models. The course shows how to improve a model's accuracy with augmentation, feature extraction, and fine-tuning hyperparameters while trying to avoid overfitting the data. The course also looks at practical issues that arise, for example, when one doesn't have enough data and how to incorporate the latest research findings into different models. Learners will get hands-on practice building and optimizing their own image classification models on a variety of public datasets in the labs they will work on.
Este é um curso de microaprendizagem introdutório que busca explicar a IA generativa: o que é, como é usada e por que ela é diferente de métodos tradicionais de machine learning. O curso também aborda as ferramentas do Google que ajudam você a desenvolver apps de IA generativa.