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MedicalZoo PyTorch
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
medical-image-segmentation volumetric-segmentation medical-image-proccessing deep-learning
Test-Time Data Augmentation
Tutorial on how to properly implement test-time image data augmentation in a production environment with limited computational resources.
data-augmentation keras production tensorflow
Training a pets detector model with TFOD API (TF 2)
In this notebook, we will be training a custom object detection model using the latest TensorFlow Object Detection (TFOD) API which is based on TensorFlow ...
computer-vision deep-learning object-detection notebook
Data augmentation recipes in tf.keras image-based models
Learn about different ways of doing data augmentation when training an image classifier in tf.keras.
image-classification deep-learning data-augmentation computer-vision
Understanding & Implementing SimCLR - an ELI5 guide
I explain the SimCLR and its contrastive loss function step by step, build image embeddings and then show how to use them to train image classifier on top.
deep-learning computer-vision pytorch self-supervised-learning
Translate RegEx in natural language using Deep Learning
A complete tutorial and code on how to build a model able to translate RegEx into natural language.
machine-learning-on-code ml-on-code deep-learning regular-expression
Intro to Keras for Engineers
Everything you need to know to use Keras & TF 2.0 to build real-world machine learning solutions.
keras tensorflow deep-learning tutorial
Tf.keras for Researchers: Crash Course
A crash course on how to best use Keras when doing research.
deep-learning keras tutorial research
Intro to Keras for Researchers
Everything you need to know to use Keras & TF 2.0 for deep learning research.
tensorflow keras deep-learning tutorial
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