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Image Super-Resolution
In this project we learn how to train a super-resolution model ESPCN on DIV2K dataset to upscale images using AI by 3x
super-resolution deep-learning computer-vision machine-learning
Otto makes machine learning an intuitive, natural language experience.
automl assistant code neural-networks
Colab-cli - sync jupyter notebooks with colab notebooks.
Experience better workflow with google colab, local jupyter notebooks and git.You can now easily manage working with jupyter notebooks and google colab ...
notebook git machine-learning deep-learning
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
Visualizing Optimization Trajectory of Neural Nets
This is a project making animated plots for optimization paths inspired by the paper "Visualizing the Loss Landscape of Neural Nets".
multilayer-perceptrons deep-learning article tutorial
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
Neural-Backed Decision Trees
Combine interpretability of a decision tree with accuracy of a neural network.
decision-trees neural-networks deep-learning interpretability
Deep Learning with Electronic Health Record (EHR) Systems
A comprehensive look at recent machine learning advancements in health.
health deep-learning ehr tutorial
Machine Learning Methods Explained (+ Examples)
Most common techniques used in data science projects; get to know them through easy-to-understand examples and put them into practice in your own ML ...
machine-learning deep-learning unsupervised-learning dimensionality-reduction
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