Pytorch Tutorial Notebooks
-
Updated
Dec 11, 2023 - 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.
Pytorch Tutorial Notebooks
Keras Notebook Implementations
Aggregation of jupyter notebooks cover by fastai's 2022 course.
Tutorial-LSTM: Project for testing LSTM time series forecasting. See notebooks for complete information
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
AI Exercises With Notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Notebooks and related code exercises for Udacity's Deep Learning with PyTorch lesson
Various Machine Learning and Deep Learning Tutorial Notebooks in Blog Format
Nvidia DLI Getting Started with AI on Jetson Nano course notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Deep Learning Book detail instruction lecture notes via Jupyter Notebook
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.
The Jupyter Notebook for OpenVINO overview workshop
Tutorials in various concepts related to deep learning
Jupyter notebooks used as supporting material for an msc thesis about personalised aesthetic assessment using residual adapters.
A collection of natural language processing notebooks.
Tutorial for developing a topic-specific autocomplete function for Jupyter notebooks based on PyTorch and Google Colaboratory.