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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.
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.
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.
Explore TensorFlow's new TF Lite Converter with Software Engineer Yu-Cheng Ling in this less than 1-hour material from TensorFlow.
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