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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.
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 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 build recommendation systems using TensorFlow in less than an hour, covering topics from content-based filtering to efficient serving with ScaNN.
Dive into TensorFlow 2.0 with this less than 1-hour material from TensorFlow. Learn user-friendly APIs through code examples and create various neural networks.
Learn to enhance mobile apps with machine learning using TensorFlow. This less than 1-hour material from TensorFlow demystifies training models and their application across devices.
Dive into TensorFlow's internal training on tf.data, its input pipeline, with this less than 1-hour material from TensorFlow. Gain insights on Python view, C++ view, optimizations, and more.
Learn TensorFlow Extended (TFX) and pre-training workflow in less than an hour with TensorFlow's online material, including data validation and transformation.
Learn Swift for TensorFlow from TensorFlow experts in less than an hour. Topics include language-integrated automatic differentiation and optimized tooling.
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.
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