TensorFlow is an open source library that was created by Google. It is used to design, build, and train deep learning models.
A collection of notebooks with TensorFlow and the Keras API for various deep-learning and machine learning problems
Repository for reviews and evaluations of converted Swift Notebooks as part of GSoC '19 program
Notebooks & Tutorial links for TensorFlow 1 & 2
深度学习TensorFlow2入门指南。Deep Learning TensorFlow2 API and Examples with Python3 and Jupyter Notebook.
An IPython notebook demonstrating the process of Transfer Learning using pre-trained Convolutional Neural Networks with Keras on the popular CIFAR-10 Image Classification dataset.
some of the modesl that I trained when I started deep learning (June '18 - Aug '18)
note book for google colab
My Jupyter Notebooks
Notebooks with experiments with tensorflow.
A set of educational Jupyter notebooks for the purpose of demonstrating AI interactively
Google colab notebooks
This notebook builds a multiclass image classifier for classifying dog breeds using TensorFlow 2.0 and TensorFlow Hub.
Presentations, Assignments and Python Notebooks for Machine Learning class, CSE4020.
Data Analytics in Jupyter Notebook
Switching from GPU to the future of Machine learning the TPU. Over 1 million images trained Resnet50 in under 20 mins compared to days or weeks on GPU and all for 0$ free on Google Colab Notebooks in Google Drive, clone repo and jump right in!!
Several tensorflow colab notebooks that I found from various sources
A series of documented Jupyter notebooks implementing various neural nets.
Notebooks of programming assignments of Improving Deep Neural Networks course of deeplearning.ai on coursera in August-2019
Created by Google Brain Team
Released November 9, 2015