Keras Notebook Implementations
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Updated
Jan 16, 2018 - Jupyter Notebook
Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns.
Keras Notebook Implementations
Deep Learning Book detail instruction lecture notes via Jupyter Notebook
AI Exercises With Notebooks
Aggregation of jupyter notebooks cover by fastai's 2022 course.
Trying to experiment with course Notebooks and log my observations.
🎓 Jupyter notebooks I used to deliver a machine learning workshop for a group of engineering school graduate students
Tutorials in various concepts related to deep learning
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
This notebook goes through how to build a neural network using only numpy. The network classifies tumours, identifying if they are malignant or benign. This notebook uses the Breast Cancer Wisconsin dataset.
A place to find all basic old school Deep Learning concepts, codes and Google Colab trainable python notebooks.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Tutorial-LSTM: Project for testing LSTM time series forecasting. See notebooks for complete information
Notebooks and related code exercises for Udacity's Deep Learning with PyTorch lesson
Various Machine Learning and Deep Learning Tutorial Notebooks in Blog Format
Jupyter notebooks used as supporting material for an msc thesis about personalised aesthetic assessment using residual adapters.
Nvidia DLI Getting Started with AI on Jetson Nano course notebooks
Pytorch Tutorial Notebooks
Tutorial for developing a topic-specific autocomplete function for Jupyter notebooks based on PyTorch and Google Colaboratory.
A collection of natural language processing notebooks.
The Jupyter Notebook for OpenVINO overview workshop