Machine Learning with Tensorflow
Machine Learning with Tensorflow
Machine Learning,TensorFlow,IT & Software
Lectures -111
Resources -1
Duration -13 hours
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Course Description
TensorFlow is an open-source software library for numerical computation using data flow graphs. These tutorials are an entire guide to TensorFlow for Deep Learning with Python. We will help you learn to build a neural network and how to train, evaluate and optimize it with TensorFlow.
The course will include the following;
- Introduction to Machine learning
- Setting up your workstation
- A quick introduction to using python libraries
- Numpy
- Pandas
- Scikit
- Matplotlib
Tensorflow Basics
- Hello world in Tensorflow
- Basic Operations and Concepts
- Tensorflow Eager API
Basic Models
- Linear regression
- Logistic regression
Introduction to neural network
Target Customers:
- Data scientists
- Researchers
- Students
- Anyone who wants to learn Machine learning
Goals
What will you learn in this course:
- Introduction to Machine learning
- Setting up your workstation
- A quick introduction to using python libraries
Prerequisites
What are the prerequisites for this course?
- Basic Python and Mathematics (Linear Algebra Basics)
- Passion to learn
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction to Machine Learning
6 Lectures
- Introduction to Machine Learning with Tensorflow 04:02 04:02
- Understanding Machine Learning 06:30 06:30
- How do Machines Learns 11:03 11:03
- Uses of Machine Learning 07:49 07:49
- Examples with tensorflow by Google 08:32 08:32
- Resources File
Setting up your workstation
10 Lectures
Numpy
8 Lectures
Pandas
13 Lectures
Matplotlit
12 Lectures
Seaborn
13 Lectures
Conda Envirement
5 Lectures
Data Visualization
4 Lectures
Processing
12 Lectures
Tensorflow Basics
7 Lectures
Tensorflow Model
12 Lectures
Neural Networks
9 Lectures
Instructor Details
Corporate Bridge Consultancy Private Limited
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