YoVDO

Practical Machine Learning with Tensorflow

Offered By: NPTEL via YouTube

Tags

Machine Learning Courses Deep Learning Courses TensorFlow Courses Gradient Descent Courses Tensors Courses Loss Functions Courses

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

4.0 Shades of Digitalisation for the Chemical and Process Industries
University of Padova via FutureLearn
A Day in the Life of a Data Engineer
Amazon Web Services via AWS Skill Builder
FinTech for Finance and Business Leaders
ACCA via edX
Accounting Data Analytics
University of Illinois at Urbana-Champaign via Coursera
Accounting Data Analytics
Coursera