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Deep Learning for Professionals
Eduonix Learning Solutions Pvt Ltd

Learn the fundamentals of deep learning using real world solutions

Summary

Price
£29 inc VAT
Study method
Online, On Demand
Duration
4.5 hours · Self-paced
Qualification
No formal qualification
Certificates
  • Reed Courses Certificate of Completion - Free

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Overview

Do you want to accelerate your machine learning career with a new skill?

We brought you the professional course on Deep Learning covering the latest concepts and skills required in the market today.

In this course, you'll learn fundamental concepts of Deep Learning, including various Neural Networks designs and ingredients of deep learning algorithms. This course will help you learn how to implement a deep-learning pipeline using TensorFlow and Python.
Deep learning is a very important aspect of machine learning. Deep learning is used for real-world scenarios such as object recognition, computer vision, image and video processing, text analytics, recommender systems, and other types of classifiers.

Certificates

Reed Courses Certificate of Completion

Digital certificate - Included

Will be downloadable when all lectures have been completed.

Curriculum

5
sections
53
lectures
4h 32m
total

    • 1: Course Introduction 00:58

    • 2: Section Introduction 00:44
    • 3: What is Artificial Intelligence? 05:09
    • 4: Ethical Implications of Artificial Intelligence 05:05
    • 5: Introduction to Machine Learning 08:13
    • 6: Types of Machine Learning 07:33
    • 7: What is Deep Learning? 05:58
    • 8: Deep Learning - Real World Applications 05:39
    • 9: Hardware Requirement 04:42
    • 10: Resources for Project 04:43
    • 11: Visualize Neural Networks 07:50
    • 12: Summary 01:04

    • 13: Section Introduction 01:37
    • 14: Probability in Deep Learning 04:47
    • 15: Calculus in Deep Learning 03:56
    • 16: Chain Rule in Deep Learning 05:06
    • 17: Math in Neural Network 06:02
    • 18: Partial Derivatives 08:26
    • 19: Bayes Theorem 04:10
    • 20: Visualizing Gradient Descent 06:33
    • 21: Overfitting 07:28
    • 22: Underfitting 03:09
    • 23: Cross Validation 04:39
    • 24: Activation Functions 09:07
    • 25: Implement Gradient Descent 09:07
    • 26: Hyperparameter Tuning - 1 05:49
    • 27: Hyperparameter Tuning - 2 03:30
    • 28: Optimizers 04:59
    • 29: Decision Tree 08:42
    • 30: Precision and Recall 07:37
    • 31: Data Cleaning 05:14
    • 32: Principle Component Analysis 02:54
    • 33: Summary 00:57

    • 34: Section Introduction 00:50
    • 35: Introduction to Exploratory Data Analysis 05:25
    • 36: Implementing Exploratory Data Analysis 07:52
    • 37: Handling Missing Values 04:33
    • 38: Features of Exploratory Data Analysis 08:23
    • 39: Introduction to Tensorflow 04:45
    • 40: Different Types of Tensors 03:40
    • 41: Comparing different versions of Tensorflow 03:56
    • 42: Data Augmentation 03:46
    • 43: Implement Image Augmentation 08:15
    • 44: Implement Gradient Tape 09:07
    • 45: Summary 00:53

    • 46: Section Introduction 00:53
    • 47: Convolutional Neural Network 08:06
    • 48: Dot Product 06:20
    • 49: Vanishing and Exploding gradients 05:16
    • 50: Residual Neural Networks 05:19
    • 51: Recurrent Neural Networks 04:29
    • 52: Implement Convolutional Neural Network 07:27
    • 53: Summary 00:53

Course media

Description

Major Topics That This Deep Learning Course Covers!

  • Introduction to the Structure of a DL Research

  • Basic Ingredients of a Deep Learning Algorithm

  • Implementing DL Pipeline in TensorFlow

  • Deep dive – NN design

Why Should You Learn The Deep Learning?

Deep learning has got approval from all major business functions from customer service to cybersecurity and marketing. It's helping in the new age of personalization, fraud detection, forecasting, and even supply chain optimization.

Perks Of Availing This Program!

  • Get Well-Structured Content

  • Step-By-Step Building of Deep Learning Research Structure

  • Learn From Industry Experts

  • Get a Certificate of Completion

Join today and be market ready!!

See You In The Class!

Who is this course for?

Anyone who wants to learn real world deep learning will find this course very useful

Requirements

Basic knowledge of Python and machine learning algorithms is required to complete this course

Questions and answers

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Legal information

This course is advertised on Reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.

FAQs

Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

CPD stands for Continuing Professional Development. If you work in certain professions or for certain companies, your employer may require you to complete a number of CPD hours or points, per year. You can find a range of CPD courses on Reed Courses, many of which can be completed online.

A regulated qualification is delivered by a learning institution which is regulated by a government body. In England, the government body which regulates courses is Ofqual. Ofqual regulated qualifications sit on the Regulated Qualifications Framework (RQF), which can help students understand how different qualifications in different fields compare to each other. The framework also helps students to understand what qualifications they need to progress towards a higher learning goal, such as a university degree or equivalent higher education award.

An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body's logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.
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