Machine Learning and Deep Learning using Tensor Flow & Keras

Rating 2.6 out of 5 (142 ratings in Udemy)

What you'll learn

Understand the intuition behind Artificial Neural Networks
Apply Artificial Neural Networks in practice
Understand the intuition behind Convolutional Neural Networks
Understand the intuition behind Convolutional Neural Networks
Understand the intuition behind Recurrent Neural Networks
Apply Recurrent Neural Networks in practice
Understand the intuition behind Machine Learning and its applications
Understand the Deep Learning …

Rating 2.6 out of 5 (142 ratings in Udemy)

What you'll learn

Understand the intuition behind Artificial Neural Networks
Apply Artificial Neural Networks in practice
Understand the intuition behind Convolutional Neural Networks
Understand the intuition behind Convolutional Neural Networks
Understand the intuition behind Recurrent Neural Networks
Apply Recurrent Neural Networks in practice
Understand the intuition behind Machine Learning and its applications
Understand the Deep Learning Frameworks and the performance comparison
Understand Neural networks Algorithms
Understand artificial neurons
Understand the basics of Tensor Flow
Understand tons of other concepts related to Deep Learning,Machine learning,Convolutional Neural Networks and Tensor Flow

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!

Duration 11 Hours 58 Minutes

Paid

Self paced

All Levels

English (India)

1924

Rating 2.6 out of 5 (142 ratings in Udemy)

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