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docs/effective_tf2.md at master · tensorflow/docs · GitHub
Effective TensorFlow 2.0 There are multiple changes in TensorFlow 2.0 to make TensorFlow users more productive. TensorFlow 2.0 removes redundant APIs, makes APIs more consistent (Unified RNNs, Unified Optimizers), and better integrates with the Python runtime with Eager execution. Many RFCs have explained the changes that have gone into making TensorFlow 2.0. This guide presents a vision for what
tensorflow/tensorflow/contrib/quantize at master · tensorflow/tensorflow · GitHub
Quantization-aware training Quantization-aware model training ensures that the forward pass matches precision for both training and inference. There are two aspects to this: Operator fusion at inference time are accurately modeled at training time. Quantization effects at inference are modeled at training time. For efficient inference, TensorFlow combines batch normalization with the preceding con
tensorflow/overview.md at master · tensorflow/tensorflow · GitHub
Note: XLA is still under development. Some use cases will not see improvements in speed or decreased memory usage. XLA (Accelerated Linear Algebra) is a domain-specific compiler for linear algebra that optimizes TensorFlow computations. The results are improvements in speed, memory usage, and portability on server and mobile platforms. Initially, most users will not see large benefits from XLA, bu
tensorflow/tensorflow/lite/experimental/micro at master · tensorflow/tensorflow · GitHub
If your device is not yet supported, it may not be too hard to add support. You can learn about that process here. We're looking forward to getting your help expanding this table! Getting Started with Portable Reference Code If you don't have a particular microcontroller platform in mind yet, or just want to try out the code before beginning porting, the easiest way to begin is by downloading the
tfjs-models/speech-commands at master · tensorflow/tfjs-models
The Speech Command Recognizer is a JavaScript module that enables recognition of spoken commands comprised of simple isolated English words from a small vocabulary. The default vocabulary includes the following words: the ten digits from "zero" to "nine", "up", "down", "left", "right", "go", "stop", "yes", "no", as well as the additional categories of "unknown word" and "background noise". It uses
GitHub - tensorflow/adanet: Fast and flexible AutoML with learning guarantees.
AdaNet is a lightweight TensorFlow-based framework for automatically learning high-quality models with minimal expert intervention. AdaNet builds on recent AutoML efforts to be fast and flexible while providing learning guarantees. Importantly, AdaNet provides a general framework for not only learning a neural network architecture, but also for learning to ensemble to obtain even better models. Th
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GitHub - vijaykyr/tensorflow_teaching_examples
GitHub - tensorflow/embedding-projector-standalone
tfjs-models/body-pix at master · tensorflow/tfjs-models
GitHub - tensorflow/tfjs-models: Pretrained models for TensorFlow.js
Release v1.0.0-alpha1: Update tfjs to 1.0.0-alpha1 and the dependent packages. (#1199) · tensorflow/tfjs
tf.contrib.factorization.KMeansClustering training on CPU and not GPU · Issue #20942 · tensorflow/tensorflow
Issues · tensorflow/datasets
GitHub - tensorflow/datasets: TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
Object Detection: Protobuf files fail to compile with v.2.6.1 protobuf-compiler · Issue #4047 · tensorflow/models
models/msssim.py at master · tensorflow/models · GitHub
docs/site/en/r2 at master · tensorflow/docs · GitHub
tensorflow/Dockerfile.gpu at master · tensorflow/tensorflow · GitHub
Video summary support · Issue #39 · tensorflow/tensorboard
