Deep Learning for Beginners: Core Concepts and PyTorch
What you'll learn
- Develop an intuitive understanding of Deep Learning
- Visual and intuitive understanding of core math concepts behind Deep Learning
- Detailed view of how exactly deep neural networks work beneath the hood
- Computational graphs (which libraries like PyTorch and Tensorflow are built on)
- Build neural networks from scratch using PyTorch and PyTorch Lightening
- You’ll be ready to explore the cutting edge of AI and more advanced neural networks like CNNs, RNNs and Transformers
- You'll be able to understand what deep learning experts are talking about in articles and interviews
- You’ll be able to start experimenting with your own AI projects using PyTorch
Requirements
- Basic Python programming knowledge
- Highschool math
- A strong desire to learn Deep Learning and Artificial Intelligence
Description
Are you interested in Artificial Intelligence (AI), Machine Learning and Artificial Neural Network?
Are you afraid of getting started with Deep Learning because it sounds too technical?
Have you been watching Deep Learning videos, but still don’t feel like you “get” it?
I’ve been there myself! I don’t have an engineering background. I learned to code on my own. But AI still seemed completely out of reach.
This course was built to save you many months of frustration trying to decipher Deep Learning. After taking this course, you’ll feel ready to tackle more advanced, cutting-edge topics in AI.
In this course:
We assume as little prior knowledge as possible. No engineering or computer science background required (except for basic Python knowledge). You don’t know all the math needed for Deep Learning? That’s OK. We'll go through them all together - step by step.
We'll "reinvent" a deep neural network so you'll have an intimate knowledge of the underlying mechanics. This will make you feel more comfortable with Deep Learning and give you an intuitive feel for the subject.
We'll also build a basic neural network from scratch in PyTorch and PyTorch Lightning and train an MNIST model for handwritten digit recognition.
After taking this course:
You’ll finally feel you have an “intuitive” understanding of Deep Learning and feel confident expanding your knowledge further.
If you go back to the popular courses you had trouble understanding before (like Andrew Ng's courses or Jeremy Howards' Fastai course), you’ll be pleasantly surprised at how much more you can understand.
You'll be able to understand what experts like Geoffrey Hinton are saying in articles or Andrej Karpathy is saying during Tesla Autonomy Day.
You'll be well equipped with both practical and theoretical understanding to start exploring more advanced neural network architectures like Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), transformers, etc. and start your journey towards the cutting edge of AI, Supervised and Unsupervised learning, and more.
You can start experimenting with your own AI projects using PyTorch and Supervised Learning
This course is perfect for you if you are:
Interested in Deep Learning and PyTorch but struggling with the core concepts
Someone from a non-engineering background transitioning into an engineering career
Familiar with the basics but wish explore more advanced knowledge.
Already working with Deep Learning models, but want to supercharge your understanding
A Python Developer, looking to advance your career
This 9.5 hour course will teach you all the basic concepts as well as the application of your knowledge. You get 40 downloadable resources, full lifetime access, 30-Day Money-Back Guarantee and a Certificate of Completion.
So what stops you from taking a deep dive into the amazing world of Deep Learning?
Who this course is for:
- Students who want learn Deep Learning for the first time
- Beginners who want to finally understand Deep Learning at an intuitive level
- Professionals looking to supercharge their understanding of Deep Learning fundamentals
Instructors
- 4.7 Instructor Rating
- 321 Reviews
- 2,007 Students
- 3 Courses
I'm currently working on two projects.
First, DeepIntuitions is our attempt at bringing more talent into the field of AI and data engineering. We're constantly building new courses to give students a more intuitive understanding of complex subjects in AI and data engineering, as well as provide them with more hands-on tutorial courses to become experts in the field.
I'm also the Co-founder and Lead Engineer at Sidetrek. Sidetrek makes it 10x easier and faster to build a modern data/ML/AI stack using open-source tools.
- 4.7 Instructor Rating
- 321 Reviews
- 2,007 Students
- 3 Courses
Hi, I'm Nami! I'm the lead instructor at DeepIntuitions. I combine my expertise in AI, business strategy, and product to transform complex ideas into tangible results.
With an MBA from UC Berkeley and over a decade of professional experience at companies like Adobe and McKinsey, and as a co-founder of DeepIntuitions, I focus on practical solutions & education that truly make an impact.
I'm currently dedicated to:
1. Helping business leaders learn & adopt AI: Through my workshops and courses, I help leaders seamlessly integrate AI into their business strategies, enhancing decision-making and operational efficiency.
2. Helping people make career transitions: I support professionals in securing their dream jobs or transitioning to new roles, offering the tools and knowledge they need to succeed.
As an AI educator, I've created and led several best-selling and top-rated courses on Udemy, like "Deep Learning for Beginners" and "Land Your Next Job with ChatGPT." These courses have achieved a 4.7 rating and have educated over 2000 students on applying AI in real-world scenarios.
When I'm not working, I'm either on the tennis court or enjoying long walks with my two dogs, finding joy and balance in life.
I'm committed to helping you learn and achieve your dreams.
- 4.7 Instructor Rating
- 321 Reviews
- 2,007 Students
- 3 Courses
DeepIntuitions is your go-to online platform for learning AI and its real-world applications in business. Our mission is to demystify these complex subjects and make them accessible to everyone, from absolute beginners to seasoned professionals.
We believe that understanding AI is crucial for navigating the future, and our courses are designed to equip you with the knowledge and skills needed to excel in this rapidly evolving field.
Our courses are led by industry experts who bring a wealth of real-world experience to the virtual classroom. Our interactive lessons are designed to reinforce learning through practical, hands-on activities.
Whether you’re just starting out or looking to deepen your expertise, DeepIntuitions is here to guide you on your AI journey, making complex concepts intuitive and actionable.