#codingtensorflow search results

#OldiesButGoodies #CodingTensorFlow 👇

“Bagaimana cara kerja pipeline TFX?” Di episode #CodingTensorFlow ini, @robert_crowe menunjukkan cara memasukkan model machine learning ke produksi! Pelajari apa saja yang ada di komponen dan bagaimana memahami cara kerja pipeline. Tonton di sini → goo.gle/2YbHZ89

¿Cómo funcionan las canalizaciones de TFX?” En este episodio de #CodingTensorFlow, @robert_crowe muestra cómo integrar modelos de aprendizaje automático a la producción. Ver → goo.gle/2YbHZ89

「TFX パイプラインはどのように機能するか？」 今回の #CodingTensorFlow エピソードでは @robert_crowe が機械学習モデルを本番環境で動作させる方法を説明します。コンポーネントの構成とタスクがパイプラインの動作を認識する方法を学びましょう。（日本語字幕あり） goo.gle/2YbHZ89

“How do TFX pipelines work?” In this #CodingTensorFlow episode, @robert_crowe shows us how to get your machine learning models into production! Learn about what makes a component and how task aware pipelines work. Watch here → goo.gle/2YbHZ89

Want to learn how to do Machine Learning right in the Browser using JavaScript? @lmoroney shows you how! Watch #CodingTensorFlow here → bit.ly/2LcKfSD

Training ML models takes time and losing your weight values can happen at the touch of CTRL-C. In this #CodingTensorFlow @MagnusHyttsten shows you how to load and save models at every epoch so you never lose time or data. Watch here → bit.ly/2CGhsEP

In the latest #CodingTensorFlow, @MagnusHyttsten tackles regression problems, where we predict output of a continuous value, like a price or a probability. See how it's done → bit.ly/2P6QgSW

In the latest episode of #CodingTensorFlow, @dynamicwebpaige shows you how to migrate your legacy code to #TensorFlow 2.0 in @GoogleColab! Watch here → bit.ly/2Tk6bTf

Learn how to train your first deep neural network, using @GoogleColab to execute the code directly from the browser. @MagnusHyttsten shows how in the latest #CodingTensorFlow Watch here → bit.ly/2BCV1kW

Overfitting models are too specialized to generalize, and underfitting models are too generalized to specialize! @MagnusHyttsten looks at how this happens and how to avoid it in the first of a two parter #CodingTensorFlow. Watch here → bit.ly/2pN7f1B

Once your dataset is ready, it's time to create your neural network and train your model to classify future data. @lmoroney walks through training models in the browser using #TensorFlowJS. Watch #CodingTensorFlow here → bit.ly/2Mp3lWh

In last week's #CodingTensorFlow, we looked at model overfitting/underfitting. Now @MagnusHyttsten takes a closer look at regularizing models, training, testing and launching them for comparison. Watch here → bit.ly/2q0DASw

In the second episode of the Intro to Google Colaboratory series, @lmoroney shows you how to create a new Colab notebook from Google Drive, use the pip command, and install the GPU version of #TensorFlow. Watch this #CodingTensorFlow here → bit.ly/2SnPQwz

In this episode of #CodingTensorFlow, @lmoroney introduces #TFLite and what it can do. You'll learn all about its model structure & the various tools available for you to get your models ready for mobile. Watch the video here → goo.gl/JffesE

「TFX パイプラインはどのように機能するか？」 今回の #CodingTensorFlow エピソードでは @robert_crowe が機械学習モデルを本番環境で動作させる方法を説明します。コンポーネントの構成とタスクがパイプラインの動作を認識する方法を学びましょう。（日本語字幕あり） goo.gle/2YbHZ89

Once you have your dataset, you have to get it ready for training. @lmoroney covers preprocessing data into tensors for efficient training, including one hot data encoding. Watch #CodingTensorFlow here → bit.ly/2NEYkJC

Finally, it’s time to build and refine your model! In the last episode of this #CodingTensorFlow mini-series, Karmel Allison teaches us how to establish the layer architecture, compile, optimize, and train the model. Learn how here → bit.ly/2FcNCtx

In the first episode of the Intro to Google Colaboratory series, @jakevdp guides you through Colab basics including code and text cells, data visualization, sharing notebooks, and more! Watch this #CodingTensorFlow here → bit.ly/2GbWH5F

In the third episode of the Intro to Google Colaboratory series, @lmoroney covers how to quickly build a neural network for basic Breast Cancer classification. Watch this #CodingTensorFlow → bit.ly/2SPD4XC P.S. Don’t forget to add your homework below!

In this #CodingTensorFlow, @robert_crowe covers how to build and train a TensorFlow model using Keras to solve regression problems in less than 15 minutes! Watch here → bit.ly/2IQJtOE

In this #CodingTensorFlow, Karmel Allison teaches us how to prepare data for ML models using the Feature Column configuration class and defining categorical data. Stay tuned for the final episode on loading this data using Keras! Watch here → bit.ly/2ruNbSx

Si quieres aprender cómo usar #JavaScript para #AprendizajeAutomático 😎👌 en el navegador, haz clic y mira este episodio de #CodingTensorFlow con @MartinAguinis → youtu.be/ZMkYL942RBw #TensorFlow #AI #ML

RT TensorFlow: Once your dataset is ready, it's time to create your neural network and train your model to classify future data. lmoroney walks through training models in the browser using #TensorFlowJS. Watch #CodingTensorFlow here → …

To GPU, or not to TPU In this #CodingTensorFlow, @dynamicwebpaige shows us how to use GPUs and TPUs in Google Colaboratory to build a deep-learning model to predict Shakespeare. Watch it here → bit.ly/2TcsOJo