Ultimate Neural Nets and Deep Learning Masterclass in Python
Ultimate Neural Nets and Deep Learning Masterclass in Python, available at $19.99, has an average rating of 4.45, with 52 lectures, based on 71 reviews, and has 470 subscribers.
You will learn about Confidently code neural nets Create your own machine learning programs Able to construct AI architectures You will have a full portfolio to maximise your employability An understanding of the overlying strategies for solving real world problems Knowledgable in ways that you can monetise your new skill Fully able to code image classifiers from scratch A fundamental understanding of the underlying mathematical concepts This course is ideal for individuals who are Any of the following: or Anyone with an interest in machine learning or Those familiar with python and looking to level up their skills or Those coming from a mathematical or engineering background It is particularly useful for Any of the following: or Anyone with an interest in machine learning or Those familiar with python and looking to level up their skills or Those coming from a mathematical or engineering background.
Enroll now: Ultimate Neural Nets and Deep Learning Masterclass in Python
Summary
Title: Ultimate Neural Nets and Deep Learning Masterclass in Python
Price: $19.99
Average Rating: 4.45
Number of Lectures: 52
Number of Published Lectures: 52
Number of Curriculum Items: 52
Number of Published Curriculum Objects: 52
Original Price: £199.99
Quality Status: approved
Status: Live
What You Will Learn
- Confidently code neural nets
- Create your own machine learning programs
- Able to construct AI architectures
- You will have a full portfolio to maximise your employability
- An understanding of the overlying strategies for solving real world problems
- Knowledgable in ways that you can monetise your new skill
- Fully able to code image classifiers from scratch
- A fundamental understanding of the underlying mathematical concepts
Who Should Attend
- Any of the following:
- Anyone with an interest in machine learning
- Those familiar with python and looking to level up their skills
- Those coming from a mathematical or engineering background
Target Audiences
- Any of the following:
- Anyone with an interest in machine learning
- Those familiar with python and looking to level up their skills
- Those coming from a mathematical or engineering background
USED BY SOFTWARE STUDENTS AT CAMBRIDGE UNIVERSITY – WORLD CLASS DEEP LEARNING COURSE– UPDATED CONTENT January 2018
Master practical deep learning and neural network concepts and fundamentals
My course does exactly what the title describes in a simple, relatable way. I help you to grasp the complete start to end concepts of fundamental deep learning.
Why you need this course
Coming to grips with python isn’t always easy. On your own it can be quite confusing, difficult and frustrating. I’ve been through the process myself, and with the help of lifelong … I want to share this with my fellow beginners, developers, AI aspirers, with you.
What you will get out of this course
I will give you straightforward examples, instructions, advice, insights and resources for you to take simple steps to create your own neural networks from scratch. By the end of the course you will be able to create neural networks to create your very own image classifier, able to work on your own images.
I personally provide support within the course, answering questions and giving feedback on what you’re discovering/creating along the way. I don’t just throw you in at the deep end – I provide you with the resources to learn and develop what you need at a pace to work for you and then help you stroll through to the finish line. Studies have shown that to learn effectively from online courses tutorials should last around ten minutes each. Therefore to maximise your learning experience all of the lectures in this course have been created around this amount of time.
My course integrates all of the aspects required to get you on the road becoming a successful deep learning developer. I teach and I preach, with live, practical exercises and walkthroughs at the end of each section!
Why this price?
As a professional AI developer I have over five years in Senior positions in software development and technology entrepreneurship, with experience in tutoring and creating online courses, catering to thousands of students. Face to face I charge $50 per hour for a student. To complete the curriculum that I offer it would cost them between $500 – $1000.
To reach more people than I could face to face I decided to create this course. As I add more content I intend to raise the price but for now I’ve decided on this price – the cost of around just three lessons.
By paying a small cost for this course I believe you will get your value back, with a lot more by the time you have completed it.
Ask yourself – how much is mastering the fundamentals of python (and setting up your skills for AI engineering) worth to you?
How long will it take?
Although everyone is different, on average it has taken existing students between 4 – 6 weeks to complete the course, whilst developing their skills and knowledge along the way.
Who this is not for
This course is not for anyone looking for a one-click fix. Although I provide you with a path walked enough times that it can be a relatively smooth journey it still requires a lot of time and effort from you to make it happen. If you’re not interested in putting in your energy to truly better yours skills in python then this may not be the right course for you.
Is there a money back guarantee if I’m not happy?
Absolutely. I am confident that my course will bring you more value than you spend on the course. As one of the previously top featured Udemy Instructors my motto is ‘your success is my success’. If within the first 30 days you feel my course is not going to help you to achieve your goals in python programming then you get a no questions asked, full discount.
What materials are included?
The majority of my lectures I have chosen to be in video format so that you can hear and see me when we’re going through each and every area of the course.
Aswell as the course lectures, presentations, scripts and quizzes the course will soon also offers my full support as an instructor to answer questions, provide feedback and support
I will be constantly adding more valuable content and resources to the course as time goes by. Keep checking back here if you’re not sure right now and feel free to send me a message with any questions or requests you may have.
So go ahead and click the ‘Take this course‘ button at the top right of your screen. I look forward to seeing you on the course.
Course Curriculum
Lecture 1: About the course
Lecture 2: How to maximise your learning
Chapter 1: The basic theory
Lecture 1: What is deep learning, machine learning, AI?
Lecture 2: Real world applications of neural nets
Lecture 3: Linear regression
Lecture 4: Line of best fit
Lecture 5: Linear regression with big data
Lecture 6: Overfitting, training and evaluation data
Lecture 7: Cost and loss
Lecture 8: How neural nets learn
Chapter 2: Neural networks – the theory
Lecture 1: Neural networks recap
Lecture 2: Training wheels off – linear regression to neural nets
Lecture 3: Adding an activation function
Lecture 4: *Milestone – First neural network*
Lecture 5: Multiple inputs
Lecture 6: Hidden layers
Lecture 7: Your neural network learning, back propagation
Chapter 3: Setting up your computer
Lecture 1: Installing python, tensorflow and other libraries
Lecture 2: Jupyter notebook
Lecture 3: Working from the command line
Lecture 4: Introducing you to AWS
Chapter 4: The fun stuff – creating your first neural network
Lecture 1: 'Hello world' for tensorflow
Lecture 2: Feeding data and running sessions
Lecture 3: Data structures
Lecture 4: Loading data into tensorflow
Lecture 5: Loading data part 2
Lecture 6: One hot encoding
Lecture 7: Neural network – let's go!
Lecture 8: Give your network a brain – backpropagation, loss and optimiser
Lecture 9: Running your model
Lecture 10: Using other frameworks
Chapter 5: Portfolio project #1 – Creating an image classifier using Keras
Lecture 1: Loading handwritten digits using Keras
Lecture 2: Creating the model
Lecture 3: Running your model
Chapter 6: Hyperparameters and bias
Lecture 1: Hyperparameters
Lecture 2: Bias and variance
Lecture 3: Strategies for reducing bias and variance
Lecture 4: Activation functions
Chapter 7: Conclusions
Lecture 1: What we have covered in this course
Lecture 2: How to continue progressing effectively
Lecture 3: Thank you
Chapter 8: Convolutional neural networks – high power image classifiers
Lecture 1: What are CNNs? how are they useful?
Lecture 2: How do CNNs work
Lecture 3: Filters
Lecture 4: Pooling
Lecture 5: One full forward pass
Lecture 6: Hyperparameters of CNNs
Lecture 7: Practical #1 – Image classifier using Tensorflow
Lecture 8: Preparing the data
Lecture 9: Creating the CNN architecture
Lecture 10: Adding the 'brain'
Lecture 11: Running your model
Instructors
-
John Harper
Cambridge Python and Machine Learning Engineer/entrepreneur
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 2 votes
- 3 stars: 10 votes
- 4 stars: 23 votes
- 5 stars: 35 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
You may also like
- Top 10 Video Editing Courses to Learn in November 2024
- Top 10 Music Production Courses to Learn in November 2024
- Top 10 Animation Courses to Learn in November 2024
- Top 10 Digital Illustration Courses to Learn in November 2024
- Top 10 Renewable Energy Courses to Learn in November 2024
- Top 10 Sustainable Living Courses to Learn in November 2024
- Top 10 Ethical AI Courses to Learn in November 2024
- Top 10 Cybersecurity Fundamentals Courses to Learn in November 2024
- Top 10 Smart Home Technology Courses to Learn in November 2024
- Top 10 Holistic Health Courses to Learn in November 2024
- Top 10 Nutrition And Diet Planning Courses to Learn in November 2024
- Top 10 Yoga Instruction Courses to Learn in November 2024
- Top 10 Stress Management Courses to Learn in November 2024
- Top 10 Mindfulness Meditation Courses to Learn in November 2024
- Top 10 Life Coaching Courses to Learn in November 2024
- Top 10 Career Development Courses to Learn in November 2024
- Top 10 Relationship Building Courses to Learn in November 2024
- Top 10 Parenting Skills Courses to Learn in November 2024
- Top 10 Home Improvement Courses to Learn in November 2024
- Top 10 Gardening Courses to Learn in November 2024