Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

Jupyter notebooks for using & learning Keras

Deep Learning tutorials in jupyter notebooks.

15+ Machine/Deep Learning Projects in Ipython Notebooks

دوره جامع یادگیری عمیق با Tensorflow و Keras

RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

<케라스 창시자에게 배우는 딥러닝> 도서의 주피터 노트북

This repo contains Jupyter Notebooks, miscellaneous stuff.

Data science Python notebooks—a collection of Jupyter notebooks on machine learning, deep learning, statistical inference, data analysis and visualization.

Various notebooks we're working on from either our blog cfe.sh/blog or as general research.

CNN image classifier implemented in Keras Notebook 🖼️.

Live training loss plot in Jupyter Notebook for Keras, PyTorch and others

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Object detection and localization with Tensorflow 2 and Keras

A curated list of applied machine learning and data science notebooks and libraries across different industries.

NLP学习笔记的Notebook，包含经典模型的理解与相关实践。

Generative Adversarial Networks with TensorFlow2, Keras and Python (Jupyter Notebooks Implementations)

Building an image classifier using keras

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.