Machine Learning and Deep Learning using Tensor Flow & Keras

Udemy Coupon - Machine Learning and Deep Learning using Tensor Flow & Keras, A-Z Course for Google's Deep Learning Framework - TensorFlow with Python! Learn to use functions and apply Codes.

• 3.0 (134 ratings)
• Created by Indira Programmers
•  English [Auto-generated]

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Description

This course will guide you through how to use Google's TensorFlow framework to create artificial neural networks for deep learning and also the basics of Machine learning! This course aims to give you an easy to understand guide to the complexities of Google's TensorFlow framework in a way that is easy to understand and its application .

Data Scientists enjoy one of the top-paying jobs, with an average salary of $120,000 according to Glassdoor and Indeed. That's just the average! And it's not just about money - it's interesting work too!

If you've got some programming or scripting experience, this course will teach you the techniques used by real data scientists and machine learning practitioners in the tech industry - and prepare you for a move into this hot career path. This is a comprehensive course with very crisp and straight forward intent.

This course covers a variety of topics, including

Neural Network Basics

TensorFlow detailed,Keras,Sonnet etc

Artificial Neural Networks

Types of Neural network

Feed forward network

Radial basis network

Kohonen Self organizing maps

Recurrent neural Network

Modular Neural networks

Densely Connected Networks

Convolutional Neural Networks

Recurrent Neural Networks

Machine Learning 

Deep Learning Framework comparisons

There are many Deep Learning Frameworks out there, so why use TensorFlow?

TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.

It is used by major companies all over the world, including Airbnb, Ebay, Dropbox, Snapchat, Twitter, Uber, IBM, Intel, and of course, Google!

Become a machine learning guru today! We'll see you inside the course!

Who this course is for:

Anyone interested in Machine Learning,Deep Learning

Students who have at least high school knowledge in math and who want to start learning Machine Learning.

Any intermediate level people who know the basics of Machine Learning or Deep Learning, including the classical algorithms like linear regression or logistic regression and more advanced topics like Artificial Neural Networks, but who want to learn more about it and explore all the different fields of Deep Learning

Anyone who is not that comfortable with coding but who is interested in Deep Learning and wants to apply it easily on datasets

Any students in college who want to start a career in Data Science

Any data analysts who want to level up in Deep Learning

Any people who want to create added value to their business by using powerful Deep Learning tools

Any business owners who want to understand how to leverage the Exponential technology of Deep Learning in their business

Any Entrepreneur who wants to create disruption in an industry using the most cutting edge Deep Learning algorithms

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