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Building your own Neural Network from Scratch with Python

Master how Machine Learning and Deep Learning algorithms and libraries work under the hood with practical examples.
4.5
4.5/5
(4 reviews)
1,317 students
Created by

8.9

CourseMarks Score®

9.9

Freshness

8.0

Feedback

8.3

Content

Platform: Udemy
Video: 12h 28m
Language: English
Next start: On Demand

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Detailed Analysis

CourseMarks Score®

8.9 / 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 11/2021.

Course content can become outdated quite quickly.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

8.0 / 10
We analyzed factors such as the rating (4.5/5) 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

8.3 / 10
Video Score: 9.5 / 10
The course includes 12h 28m 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.
Detail Score: 9.8 / 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: 5.5 / 10

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

This course contains:

0 article.
0 resource.
0 exercise.
0 test.

Table of contents

Description

Together we are going to master in depth concepts in machine learning and python programming, then apply our knowledge in building our own neural network from scratch without using any library.
What you’ll learn in this course will not only lay a solid foundation in your Deep Learning career, but also permit you to understand how deep learning libraries work.
If you’ve gotten to this point, it means you are interested in mastering how neural networks work and using your skills to solve practical problems.
You may already have some knowledge on Machine learning and python programming, or you may be coming in contact with these for the very first time. It doesn’t matter from which end you come from, because At the end of this course, you shall be an expert with much hands-on experience.
If you are willing to move a step further in your career, this course is destined for you and we are super excited to help achieve your goals!
This course is offered to you by Neuralearn.
And just like every other course by Neuralearn, we lay much emphasis on feedback. Your reviews and questions in the forum, will help us better this course.
Feel free to ask as many questions as possible on the forum. We do our very best to reply in the shortest possible time.
Let’s get started.

Here are the different concepts you’ll master after completing this course.
•Fundamentals Machine Learning.
•Essential Python Programming
•Choosing Machine Model based on task
•Error sanctioning
•Linear Regression
•Logistic Regression
•Multi-class Regression
•Neural Networks
•Training and optimization
•Performance Measurement
•Validation and Testing
•Building Machine Learning models from scratch in python.
•Overfitting and Underfitting
•Shuffling
•Ensembling
•Weight initialization
•Data imbalance
•Learning rate decay
•Normalization
•Hyperparameter tuning
YOU’LL ALSO GET:
•Lifetime access to This Course
•Friendly and Prompt support in the Q&A section
•Udemy Certificate of Completion available for download
•30-day money back guarantee
Who this course is for:
•Beginner Python Developers curious about Deep Learning.
•Deep Learning Practitioners who want gain a mastery of how things work under the hood.
•Anyone who wants to master deep learning fundamentals.
•Mastery of how Deep Learning libraries work and are built from scratch.
ENjoy!!!

You will learn

✓ Introductory Python, to more advanced concepts like Object Oriented Programming, decorators, generators, and even specialized libraries like Numpy & Matplotlib
✓ Mastery of the fundamentals of Machine Learning and The Machine Learning Developmment Lifecycle.
✓ Linear Regression, Logistic Regression and Neural Networks built from scratch.
✓ Building a simple Deep Learning library from first principles

Requirements

• Basic Math
• No Programming experience.

This course is for

• Beginner Python Developers curious about Deep Learning.
• Deep Learning Practitioners who want gain a mastery of how things work under the hood
• Anyone who wants to master deep learning fundamentals.
• Mastery of how Deep Learning libraries work and are built from scratch.

How much does the Building your own Neural Network from Scratch with Python course cost? Is it worth it?

The course costs $12.99. And currently there is a 35% discount on the original price of the course, which was $19.99. So you save $7 if you enroll the course now.

Does the Building your own Neural Network from Scratch with Python course have a money back guarantee or refund policy?

YES, Building your own Neural Network from Scratch with Python 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 Building your own Neural Network from Scratch with Python course, but there is a $7 discount from the original price ($19.99). So the current price is just $12.99.

Who is the instructor? Is Neuralearn Dot AI a SCAM or a TRUSTED instructor?

Neuralearn Dot AI has created 2 courses that got 17 reviews which are generally positive. Neuralearn Dot AI has taught 4,774 students and received a 4.3 average review out of 17 reviews. Depending on the information available, Neuralearn Dot AI is a TRUSTED instructor.
Helping millions of learners, master Deep Learning.
We provide world class courses in Mathematics for Deep Learning (Linear Algebra, Calculus, Probability, Statistics, Optimization), Core Deep Learning Theory (Going from the basics of Machine Learning up to most recent state of art Deep Learning Algorithms) and Practical Deep Learning applied in fields like Computer vision and Natural Language Processing, using modern tools like TensorFlow, PyTorch, HuggingFace, KubeFlow, …

8.9

CourseMarks Score®

9.9

Freshness

8.0

Feedback

8.3

Content

Platform: Udemy
Video: 12h 28m
Language: English
Next start: On Demand

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