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The @QuickTensorFlow mini-course includes 20+ Jupyter/Colab notebooks to help you quickly master Transfer Learning, and powerful notebook templates that simplify building a custom model with your own training data 🔗 quicktensorflow.com
Get 25% off the @QuickTensorFlow early access price to celebrate the beta launch of @PalletML! Coupon Code: PALLET21 Enjoy all of the new course content for only $14.99! quicktensorflow.com
Thread of exciting features added to the @PalletML platform we use to deploy models to mobile in the course, including a real-time input method, which enables your model to generate fast classifications using the camera without even snapping a photo!
🤳 ... and immediately use your model to make real-world predictions in real-time (or save predictions for later review). With on-device inference your data stays private & secure.
Course update! 📚 You can now upgrade your models to MobileNetV3 with only a few lines of code. We posted a video and Colab notebook to show you how! Access the course at quicktensorflow.com
New Content! 🤖 Check out our new lesson on optimizing your machine learning model performance using the Keras Callbacks API quicktensorflow.com
ICYMI we've recently added new course content on: • Transfer Learning data pipelines • Data Augmentation • Keras Preprocessing Layers More @QuickTensorFlow & @PalletML announcements coming soon! Start learning now at the $19.99 early access price! quicktensorflow.com
Have you seen our free lesson on building a mobile handwritten digit recognizer with #TensorFlow and @PalletML? You'll import and process the MNIST dataset, train a model, and deploy it on your android device by the end of the lesson! courses.quicktensorflow.com/courses/661021…
Check out this just released paper from authors at Google/Microsoft on using tf.data for modern data processing! Learn how to use this framework for computer vision & image classification datasets in the @QuickTensorFlow course 🖥 arxiv.org/abs/2101.12127
Have you seen the new content under "Quick TensorFlow Deep Learning Supplementals"? We updated it to better integrate with tf.data.Dataset using TensorFlow 2.4 Learn how to build a data pipeline for Transfer Learning using your own images! quicktensorflow.com
Have you seen the new content under "Quick TensorFlow Deep Learning Supplementals"? We updated it to better integrate with tf.data.Dataset using TensorFlow 2.4 Learn how to build a data pipeline for Transfer Learning using your own images! quicktensorflow.com
The @QuickTensorFlow mini-course takes you through the entire machine learning pipeline, including • Importing data • Building & optimizing state-of-the-art models • Deploying models to mobile Check out our website for more information! quicktensorflow.com
Wondering about what you should know before starting the @quicktensorflow course? If you know introductory #python, and you're familiar with classification concepts like training, testing, and accuracy, you know enough to dive in! Get started today: quicktensorflow.com
🤖 New lecture is live! Data Augmentation Pt. 2: Using #Keras Preprocessing Layers Build flexible data pipelines with the latest #TensorFlow preprocessing layers to enhance your training data and improve your models' performance. 🔗 quicktensorflow.com
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