Experimental Adversarial Attack notebooks on CV models
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Updated
Sep 14, 2020 - Jupyter Notebook
Experimental Adversarial Attack notebooks on CV models
Compilation of activities and projects given to members of the Computer Vision Group
Implementing an ANN using PyTorch (under 800,000 parameters) to achieve +92% accuracy in under 100 epochs.
Jupyter Notebook with Python code (TensorFlow, Keras and Matplotlib). Step-by-step guide taken from "Hands-On Artificial Intelligence Course" from Mammoth Interactive.
Interactive exploration of logistic regression, multinomial classification, and transfer learning using Python and Jupyter Notebooks in the context of data science education.
A few notebooks on building binomial as well as multilabel image classifiers from scratch. Also, how to use a pretrained ConvNet for image classification.
This is an image classifier for the well-known CIFAR-10 dataset. The code is written in Python and executed either on a Jupyter Notebook or Google Colab.
CNN applied on Cifar-10 database.
iPython notebook for training a Keras model on the CIFAR-10 dataset
A performance benchmark of recent image classification models in deep learning
Collection of tensorflow notebooks tutorials for implementing some basic Deep Learning architectures.
15+ Machine/Deep Learning Projects in Ipython Notebooks
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