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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.
Dive into TensorFlow's internal training sessions in less than an hour. Learn how state is managed and how dynamic C++ types are supported in graphs from the TensorFlow team.
Dive into TensorFlow's internal training sessions, with a focus on TensorBoard and tf.summary API. Learn visualization best practices from TensorFlow engineers in under an hour.
Learn to develop on-device AI applications with Google Coral and TensorFlow. Understand Edge TPU hardware, software tools, and application development in under an hour.
Learn Deep Reinforcement Learning with TensorFlow's TF-Agents library in under an hour, covering recent advancements and practical applications. Offered by TensorFlow.
Learn about Google's Cloud TPU and TensorFlow for large-scale model parallelism in deep learning training in under an hour with TensorFlow.
Learn ML fairness from Google's experiences, with techniques and resources for model evaluation and improvement, in under an hour with TensorFlow.
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