Machine Learning notebooks for refreshing concepts.
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Updated
Aug 24, 2021 - 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.
Machine Learning notebooks for refreshing concepts.
دوره جامع یادگیری عمیق با Tensorflow و Keras
Notebook for O'Reilly's "Deep Convolutional Generative Adversarial Networks"
A collection of natural language processing notebooks.
A computer vision closed-loop learning platform where code can be run interactively online. 学习闭环《计算机视觉实战演练:算法与应用》中文电子书、源码、读者交流社区(持续更新中 ...) 📘 在线电子书 https://charmve.github.io/computer-vision-in-action/ 👇项目主页
The Jupyter Notebook for OpenVINO overview workshop
TensorFlow and Deep Learning Tutorials
Pytorch Tutorial Notebooks
Tutorial for developing a topic-specific autocomplete function for Jupyter notebooks based on PyTorch and Google Colaboratory.
Tutorials in various concepts related to deep learning
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
Exercise answers of d2l JupyterNotebook based on PyTorch(基于pytorch的《动手学深度学习》JupyterNotebook练习解答)
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Keras Notebook Implementations
AI Exercises With Notebooks
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.