Participante desde 2023
Natural Language Processing on Google Cloud
Earned May 3, 2023 EDT
Computer Vision Fundamentals with Google Cloud
Earned May 2, 2023 EDT
Como criar, treinar e implantar modelos de ML com o Keras no Google Cloud
Earned Apr 17, 2023 EDT
This course introduces the products and solutions to solve NLP problems on Google Cloud. Additionally, it explores the processes, techniques, and tools to develop an NLP project with neural networks by using Vertex AI and TensorFlow.
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 curso ensina a criar modelos de ML com o TensorFlow e o Keras, melhorar a acurácia deles e desenvolver modelos para uso em escala.