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Learn federated learning, a privacy-preserving technology for training machine learning models across devices, in less than an hour with TensorFlow.
TensorFlow's short session dispels myths about building AI models for healthcare, discussing data, model accuracy, and product impact. Features expert conversations.
Natural Language Processing using TensorFlow. Part 1: Tokenization. Part 2: Sequencing. Part 3: Training a model to recognize sentiment in text. Part 4: ML with Recurrent Neural Networks. Part 5: Training an AI to create poetry. Part 6: Learning to write…
Learn to build recommendation systems using TensorFlow in less than an hour, covering topics from content-based filtering to efficient serving with ScaNN.
Learn to code with TensorFlow, covering recommendation systems, natural language processing, neural structured learning, and machine learning in a 5-hour program.
Inside TensorFlow: New TF Lite Converter.Inside TenseFlow: Quantization aware training. inside Tensorflow: Parameter server training. Inside Tensor Flow: MLIR for TF developers. inside TF-Agents. inside tensorflow.data - TF Input Pipeline.
Learn to deploy production ML with TensorFlow Extended (TFX) in this 10-hour program by TensorFlow. Gain insights into ML pipelines, metadata, distributed processing, and model understanding.
Learn to utilize AI effectively with TensorFlow's 1-2 hour material, featuring case studies and research by Dr. Vivienne Ming on AI breakthroughs and future potential.
Learn to run ML models on Android using TensorFlow Lite in Google Play services, reducing app size and improving performance. Less than 1-hour workload.
Learn to create custom art using Stable Diffusion and Keras with TensorFlow. Master GANs and Python coding in under an hour.
Dive into Machine Learning with TensorFlow in under an hour. Learn to create ML models, start your first project, and use CoLabs.
Learn to create a custom machine learning model using TensorFlow.js in less than an hour. Train your model to recognize any object, with TensorFlow.
Learn to streamline model development workflows with Keras Preprocessing Layers in less than an hour with TensorFlow's Matthew Watson.
Learn best practices for ML product decisions from TensorFlow's Senior UX Designer, Di Dang, in under an hour. Explore user needs, mental models, and trust in AI/ML products.
Learn about Google's Cloud TPU and TensorFlow for large-scale model parallelism in deep learning training in under an hour with TensorFlow.
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