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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 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.
Explore deep learning applications in fundamental sciences with TensorFlow, leveraging high-performance computing for data analysis and discovery. Less than 1-hour workload.
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.
Dive into Deep Learning with TensorFlow's 1-2 hour program, exploring neural networks, representation learning, and practical applications with numerous code examples.
Learn parameter server training, a data-parallel method for scaling model training on multiple machines, from TensorFlow engineers in under an hour.
Discover machine learning in JavaScript with TensorFlow.js in a 30-minute talk by Jason Mayes from TensorFlow. Learn computer vision in the browser and create creative prototypes.
Learn to build machine learning infrastructure with TensorFlow in less than an hour, covering topics from vectorized normalization to distributed execution.
Dive into TensorFlow's quantization aware training with Software Engineer Pulkit Bhuwalka in less than an hour. Learn the fundamentals, APIs, and implementation strategies.
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