Notes

A set of notebooks that leverage classical ML algorithms and DL neural nets using TF, Keras and Theano to address a series of issues in the field of conservation and biology.

Jupyter notebooks for learning TensorFlow 2

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

Notebook examples with tensorboard.dev

Jupyter Notebooks of Tensorflow 2 Projects

Tensorflow 2.0 - Code Academy Course Notebook Replication.

Different machine learning algorithms implemented in Jupyter Notebook

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Machine Learning code examples in Jupyter notebook using Python

Fast Style Transfer Demo build using Google Colab notebook.

This notebook explains `TFRecords` and how to create them.

Practice Code (Python) in Jupyter Notebooks for the Course Modules

Python based spatial navigation data pipeline built on Jupyter Notebooks.

Jupyter notebooks of interesting assignments from the TensorFlow: Advanced Techniques Specialization

Directory of python ML notebooks written with Tensorflow 2.0 and Keras

Collection of Deep Learning notebooks written in Tensorflow 2.0 and Keras

Python notebooks with simple deep learning applications written using TensorFlow 2.2

This repo is to maintain deep learning notebooks and references for further purposes