Transfer learning and Transformer models (ML Tech Talks)
-
Frank
- June 20, 2022
- Developer
- Developers
- GDS: Yes
- Google Developers
- how to use machine learning
- how to use ml
- Iulia Turc
- machine learning tech talks
- machine learning tutorial
- ml tutorial
- pr_pr: TensorFlow
- purpose: Educate
- series: ML Tech Talks
- TensorFlow
- tensorflow developer
- tensorflow developers
- the transformer
- Transfer Learning
- transformer models
- type: DevByte (deck cleanup 0-10min)
- what is machine learning
- what is ML
In this session of Machine Learning Tech Talks, Software Engineer from Google Research, Iulia Turc, will walk us through the recent history of natural language processing, including the current state of the art architecture, the Transformer.
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Introduction to object detection on Raspberry Pi
-
Frank
- December 13, 2021
- AI
- edge AI
- GDS: Yes
- Google Developers
- Machine Learning for Raspberry Pi
- ML for Raspberry Pi
- Object Detection
- object detection model
- pr_pr: TensorFlow
- pre-trained ML model
- pre-trained object detection
- purpose: Educate
- Raspberry Pi
- series: Coding TensorFlow
- TensorFlow
- tensorflow developer
- tensorflow developers
- Tensorflow light
- TensorFlow Lite
- TF Lite
- TFX
- type: DevByte (deck cleanup 0-10min)
In the first episode of Machine Learning for Raspberry Pi, learn how to download a pre-trained TensorFlow Lite object detection model and deploy it to your Raspberry Pi. This model can be used to recognize general objects such as an apple, a television, or a car.
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How to make TensorFlow models run faster on GPUs
XLA compilation on GPU can greatly boost the performance of your models, Learn how to use @tf.function(jit_compile=True) in TensorFlow to control what exact scopes are being compiled, and how to debug the performance of the resulting program. We’ll cover writing compiled models, debugging them, and exploring the performance characteristics and optimizations the XLA compiler performs, […]
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