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Introduction to Deep Learning in Python

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$12

$6

49% OFF

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Course Features

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Duration

4 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

4 hours

Course Description

Deep learning, a machine-learning technique, is capable of enabling the most remarkable capabilities in a wide range of areas such as robotics and natural language processing. AlphaGo is one example. This course will provide hands-on experience in deep learning using Keras 2.0. Keras 2.0 is the latest version of a Python library that allows deep learning.

Careervira Take

DataCamp offers this online certification program to help professionals gain hands-on, practical knowledge of using deep learning with Keras 2.0, the latest version of a cutting-edge library for deep learning in Python. It helps freshers and professionals to advance their career trajectories. Moreover, it is achieved by teaching skills like Python Scripting, Image Processing, Deep Learning, Natural Language Processing, and Artificial Intelligence. The curriculum is curated to industry standards, and the prerequisite to enroll in this course is to complete the Supervised Learning with the scikit-learn course. The course USPs are hands-on training, industry exposure and international faculty.

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Course Credibility

DataCamp is one of the best e-learning websites to learn to program in data analytics and science. It excels ...
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Pedagogy

This short-duration course utilizes a self-paced online learning technique that encourages working profession...
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Hands-on training

This short-duration course utilizes a self-paced online learning technique that encourages working profession...
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Career impact

This self-paced course offers no placement guarantee, or internship opportunities or job assistance. It helps...
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Pricing

The intermediate-level course is available on a subscription basis and is priced for ₹927, which is quite rea...
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Assessment

Assessments are an essential element of this self-paced short-duration program. It is a sort of theoretical t...

Course Overview

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Virtual Labs

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

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Understanding of Supervised Learning with scikit-learn

What You Will Learn

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You'll gain hands-on, practical knowledge of how to use deep learning with Keras 2.0, the latest version of a cutting-edge library for deep learning in Python

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In this chapter, you'll become familiar with the fundamental concepts and terminology used in deep learning, and understand why deep learning techniques are so powerful today

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You'll use a method called backward propagation, which is one of the most important techniques in deep learning

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You'll learn about the Specify-Compile-Fit workflow that you can use to make predictions

Course Instructors

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Dan Becker

Data Scientist and contributor to Keras and TensorFlow libraries

Dan Becker is a data scientist with years of deep learning experience. He has contributed to the Keras and TensorFlow libraries, finishing 2nd (out of 1353 teams) in the $3million Heritage Health Pri...

Course Reviews

Average Rating Based on 3 reviews

5.0

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Course Cover

$12

$6

49% OFF

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