A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
15+ Machine/Deep Learning Projects in Ipython Notebooks
Scientific time series and deep learning state of the art
Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course
A Collection of Notes for Learning & Understanding Deep Learning / Machine Learning / Artificial Intelligence (AI) with TensorFlow
Complete Guide to TensorFlow for Deep Learning with Python Udemy Course
Deep learning in time series analysis
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow
2019 Deep Learning Fundamentals and Applications in Medical Informatics Workshop
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
Code companion to the O'Reilly "Fundamentals of Deep Learning" book
Fundamentals of Deep Learning, Nikhil Buduma, June 2017, First Edition
Hands on deep learning/neural network practice with professor andrew ng and google brain AI advocate "Laurence Moroney",link of this coursera course : https://www.coursera.org/learn/introduction-tensorflow#utm_source=email&utm_medium=dl.aiGeneralListCTA&utm_campaign=TFSC1Announcement
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