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The Complete Deep Learning & Computer Vision Course in 2021

Learn Deep Learning & Computer Vision with Python, Tensorflow 2.0, OpenCV, FastAI. Object Detection & GAN and much more!
4.0
4.0/5
(25 reviews)
287 students
Created by

9.3

CourseMarks Score®

9.9

Freshness

7.5

Feedback

10.0

Content

Platform: Udemy
Price: $11.99
Video: 16h 43m
Language: English
Next start: On Demand

Top Deep Learning courses:

Detailed Analysis

CourseMarks Score®

9.3 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

9.9 / 10
This course was last updated on 3/2021.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

7.5 / 10
We analyzed factors such as the rating (4.0/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Content Score

10.0 / 10
Video Score: 10.0 / 10
The course includes 16h 43m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 8 hours 47 minutes of 111 Deep Learning courses on Udemy.
Detail Score: 10.0 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.9 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

15 articles.
14 resources.
0 exercise.
0 test.

Table of contents

Description

This Brand New and Modern Deep Learning & Computer Vision Course will teach you everything you will need to know to become a Computer Vision Expert.

Deep Learning & Computer Vision is currently one of the most increasing fields of Artificial Intelligence and Companies like Google, Apple,
Facebook, Amazon are highly investing in this field. Deep Learning & Computer Vision jobs are increasing day by day & provide some of the highest paying jobs all over the world.

If We Want Machines to Think, We Need to Teach Them to See.-Fei Fei Li, Director of Stanford AI Lab and Stanford Vision Lab

Computer Vision allows us to see the world & process digital images & videos to extract useful information to do a certain task from classification, object detection, and much more. Python is one of the most popular used programming language in Deep Learning and Computer Vision.

All the tools, techniques & technologies used in this course –
•Learning Computer Vision & Deep Learning Fundamentals
•Setting up Anaconda, Installing Libraries & Jupyter Notebook
•Learning fundamentals of OpenCV & Numpy – Reading images, Colorspaces, Drawing & Callbacks
•Advanced OpenCV – Image Preprocessing, Geometrical transformations, Perspective transformations & affine transformations, image blending & pyramids, image gradients & thresholding, Canny Edge Detector and contours
•Working with videos in OpenCV –  Using webcam, Haar Cascades & Object Detection, Lane Detection
•Deep Learning & How Neural Network Works? – Artificial neural networks, Convolution Neural Networks & Transfer Learning

Image Classification – Plant leaf Classification
•Working on very recent Kaggle Competitions
•Using Google Colab & Kaggle Kernels
•Using the latest Tensorflow 2.0 & Keras
•Using Keras Data Generators & Data Argumentation
•Using Transfer Learning & Ensemble learning
•Using State of The Art Deep Learning Models
•Using GPU & TPU for Model Training
•Hyperparameter Tuning
•Using Weights & Biases for recording Deep Learning experimentations
•Saving & Loading Models
•Creating a Weights & Biases Report & Showcasing the Project!

Object Detection – Wheat heads Detection
•Working on Kaggle Competitions, again!
•Using Facebook’s Detectron2 for Object Detection
•Creating COCO Dataset from scratch
•Training Faster RCNN Model and Custom Weights & Biases callback
•Using Retinanet
•Saving & Loading Detectron2 models

Generative Adversarial Networks – Creating Fake Leaf Images
•Learning How Generative Adversarial Networks works
•Using FastAI
•Creating & Training Generative Adversarial Networks
•Making Fake Images using GAN

Making ML Web Application
•Getting started with Streamlit
•Creating an ML Web Application from scratch using Streamlit
•making a React Web Application

Deploying ML Applications
•Learning how to use Cloud Services to Deploy Models & Applications
•Using Heroku
•Learning how to Open Source Projects on GitHub
•How to showcase your projects to impress boss & employees & Get Hired!

A lot of bonus lectures!

This is what included in the package
•All lecture codes are available for downloadable for free
•110+ HD video lectures ( over 50 more to come very soon! )
•Free support in course Q/A
•All videos with English captions available

This course is for you if..
•… you want to learn the Latest Tools & Techniques used in Deep Learning & Computer Vision
•… you want to get more experience to Win Kaggle Competitions
•… you want to get started with Computer Vision to become a Computer Vision Engineer
•.. you are interested in learning Image Classification, Object Detection, Generative Adversarial Networks, Making & Deploying Machine Learning Applications

You will learn

✓ Using Latest Tools & Techniques in Deep Learning & Computer Vision
✓ Learning how to used the latest Tensorflow 2.0
✓ How to apply Transfer Learning, Ensemble Learning, using GPUs & TPUs
✓ How to work & win Kaggle Competitions
✓ Learning to use FastAI
✓ How to use Generative Adversarial Networks
✓ How to use Weights & Biases for recording Experiments
✓ Learning to use Detectron2 for Object Detection
✓ Making Machine Learning Web Application from Scratch
✓ Learn how to use OpenCV for Computer Vision
✓ How to make Real World Applications & Deploy into Cloud
✓ Learning Techniques like Object Detection, Classification & Generation
✓ Learning how to use Heroku for deploying ML models
✓ Working on Kaggle Competitions & Kaggle Kernels
✓ Exploring & Visualizing Datasets using popular libraries like Matplotlib & Plotly.
✓ Learinng how to use libraries like Pandas, Sklearn, Numpy
✓ Creating Advance Data Pipelines using Tensorflow for training Deep Learning Models
✓ Setting up Environment & Project for Deep Learning & Computer Vision

Requirements

• Basic Python programming knowledge
• A Computer with Internet Connection
• All tools used in this course are free to use

This course is for

• You want to become a Computer Vision Engineer & Get Hired
• Anyone who want to learn latest tools & techniques used in Computer Vision
• You are already a Programmer and what to extend your skills by learning Computer Vision
• Who want to learn new Tools & Techniques used in Computer Vision
• You want to get more experience for winning Kaggle Competitions

How much does the The Complete Deep Learning & Computer Vision Course in 2021 course cost? Is it worth it?

The course costs $11.99. And currently there is a 87% discount on the original price of the course, which was $94.99. So you save $83 if you enroll the course now.
The average price is $15.1 of 111 Deep Learning courses. So this course is 21% cheaper than the average Deep Learning course on Udemy.

Does the The Complete Deep Learning & Computer Vision Course in 2021 course have a money back guarantee or refund policy?

YES, The Complete Deep Learning & Computer Vision Course in 2021 has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the The Complete Deep Learning & Computer Vision Course in 2021 course, but there is a $83 discount from the original price ($94.99). So the current price is just $11.99.

Who is the instructor? Is Shubham Gupta a SCAM or a TRUSTED instructor?

Shubham Gupta has created 1 courses that got 25 reviews which are generally positive. Shubham Gupta has taught 287 students and received a 4.0 average review out of 25 reviews. Depending on the information available, Shubham Gupta is a TRUSTED instructor.
Machine Learning Engineer
Hi there,  Me ShubhamaiMachine Learning Engineer • Instructor • Teaching Assistant & Mentor ZTM• ML Researcher @ AIcrowd • Love Space & Rocketry I am a Machine Learning Engineer & Instructor with having a lot of experience with Deep Learning, Computer Vision. Currently, I am been working as a Machine learning Teaching Assistant @ Zero to Mastery and Machine Learning Research Assistant @ AIcrowd . I started my journey as an ML Engineer when I discovered Arduino, one of the most popular microcontrollers that can be used anywhere like in hobby projects or in robotics. With programming c++ in Arduino. I started to question myself about how can I increase my software development skills. and that’s where I discovered and started learning python & ML,  self-taught. I completed many many courses. I then started building many projects and Then I started freelancing on Fiverr. I got so much experience working with companies and their projects, and go many reviews too like —- Amazing developer to work with. Great experience, he went above and beyond to create great code that is clean and efficient. Will work with this developer again! – scifundinc- Shubham is very keen to work on all the aspects mentioned. He takes his time to make the project appealing and accurate. He was very committed to the time limit given and delivered the project before the deadline. His work is commendable and I look forward to take up more projects from him. – swantikalabhand many many more…After that I started learning many more skills,   like object detection & segmentation, using Detectron2, FastAI, and many advanced techniques in deep learning including working on many kaggle competitions. But after that, working for endless months, I finally published my first ever online course, The Complete Deep Learning & Computer Vision Course and started my carer as an Instructor.  I made this course keeping in mind that this course is what i wanted when i started to learn Deep Learning & Computer Vision. And then, here we are…

9.3

CourseMarks Score®

9.9

Freshness

7.5

Feedback

10.0

Content

Platform: Udemy
Price: $11.99
Video: 16h 43m
Language: English
Next start: On Demand

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