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Learn to create state-of-the-art deep learning models with TensorFlow's Tensor2Tensor library in less than an hour. Ideal for ML applications like translation and image captioning.
Learn TensorFlow.js, the JavaScript version of TensorFlow, with less than an hour of material from TensorFlow. Understand machine-learning workflow, training, and client-side deployment.
Learn distributed TensorFlow training using Keras APIs with TensorFlow's team in under an hour. Understand distributed architecture, cluster setup using Kubeflow and Kubernetes.
Learn to scale machine learning model training across multiple GPUs or machines with TensorFlow in under an hour. Offered by TensorFlow.
Explore the intersection of machine learning and art with TensorFlow in less than an hour. Learn from top researchers about robotics and AI advancements.
Learn TensorFlow and deep reinforcement learning in less than an hour with Google's TensorFlow. Master neural networks to play video games like Pong, no PhD required.
Explore federated learning and its application to mobile keyboards with TensorFlow's Research Scientist Françoise Beaufays in under an hour.
Dive into natural language processing with TensorFlow's under 1-hour session, exploring encoding text, language modeling, transformers, and transfer learning with BERT.
Dive into Explainable AI with TensorFlow in under an hour. Learn about ML interpretability methods, Integrated Gradients, and future research directions.
Explore Generative Adversarial Networks (GANs) and TensorFlow's open-source library in under an hour with TensorFlow's Research Engineer, Joel Shor.
Dive into graph neural networks with TensorFlow's under 1-hour session, featuring a DeepMind scientist. Includes an introductory presentation, Colab exercise, and study resources.
TensorFlow's brief session explores linear algebra concepts in Machine Learning context, covering data representations, vector embeddings, and dimensionality reduction.
Learn the fundamentals of TensorFlow, including tensors, variables, and gradients, in less than an hour with this talk by Wolff Dobson from TensorFlow.
Learn to build trustworthy, user-centered AI products with TensorFlow in less than an hour. Gain insights from the People + AI Research team and explore a toolkit of resources.
Dive into Deep Learning with TensorFlow's 1-2 hour program, exploring neural networks, representation learning, and practical applications with numerous code examples.
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