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Introduction to machine learning, neural networks and deep learning
Introduction to Google Colab
Introduction to TensorFlow 2 and Keras
TensorFlow 2 and Keras quickstart for geospatial computer vision
Introduction to Tensors, TensorFlow Functions and TensorFlow Datasets
Regression using TensorFlow with Google Earth Engine Python API
What are cloud providers? Why might I need them for ML and Earth observation data?
Processing earth observation data for semantic segmentation with deep learning
Semantic segmentation with Convolutional Neural Networks
Semantic segmentation with Vision Transformers, Hugging Face and TensorFlow
Evaluating Semantic Segmentation Models
Dealing with limited data for semantic segmentation
Comparing deep learning architectures for different computer vision tasks on satellite imagery
Comparing RNNs and Transformers for Imagery
Transfer learning, fine-tuning and hyperparameter tuning
TensorFlow advanced applications with deep learning object detection, time-series analysis
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