Practical Machine Learning with Tensorflow
Offered By: NPTEL via YouTube
Course Description
Overview
COURSE OUTLINE: This will be an applied Machine Learning Course jointly offered by Google and IIT Madras. We will cover the basics of Tensorflow and Machine Learning in the initial sessions and advanced topics in the latter part. After this course, the students will be able to build ML models using Tensorflow.
Syllabus
Lecture 1: Overview of Tensorflow.
Lecture 2: Machine Learning Refresher.
Lecture 3: Steps in Machine Learning Process.
Lecture 4: Loss Functions in Machine Learning.
Lecture 5: Gradient Descent.
Lecture 6: Gradient Descent Variations.
Lecture 7: Model Selection and Evaluation.
Lecture 8: Machine Learning Visualization.
Lecture 9: Deep Learning Refresher.
Lecture 10: Introduction to Tensors.
Taught by
NPTEL-NOC IITM
Tags
Related Courses
Launching into Machine Learning auf DeutschGoogle Cloud via Coursera Статистические методы анализа данных
Higher School of Economics via Coursera Linear Classifiers in Python
DataCamp The Complete Neural Networks Bootcamp: Theory, Applications
Udemy Gradient Boost
YouTube