Artificial intelligence is changing the world, and neural networks are at its core. They help with things like recognizing images and understanding languages. Whether you’re new to this or already know a bit, there are great places to learn more. In this guide, we’ll explore seven awesome resources for all skill levels.
1. Neural Networks and Deep Learning
Where: Coursera
Teacher: Andrew Ng
Time: About 4–5 weeks (Go at your own pace)
Learning the Basics
This course by Andrew Ng, a famous AI expert, is a good start if you’re new to neural networks.
What You’ll Learn:
- Course Content: You’ll learn the basics of neural networks and how to use them for different tasks.
- Hands-On Practice: There are assignments and projects to help you apply what you’ve learned.
- Flexible Learning: You can learn when it’s convenient for you.
- Certification: When you finish, you get a certificate to show your skills.
2. Deep Learning— Udacity
Where: Udacity
Teacher: Various
Time: Go at your own pace
A Complete Learning Path
Udacity’s Deep Learning program is like a guided journey through neural networks.
What Makes It Special:
- Nanodegree Program: It’s a structured way to learn, not just random courses.
- Real-World Projects: You’ll work on real projects to test your skills.
3. Deep Learning A-Z™: Hands-On Artificial Neural Networks
Where: Udemy
Teacher: Kirill Eremenko
Time: Go at your own pace
Get Your Hands Dirty
This Udemy course is all about hands-on experience with artificial neural networks.
What’s Included:
- Course Content: You’ll build neural networks from scratch.
- Practice: There are lots of exercises and projects to help you learn by doing.
- Lifetime Access: Once you buy the course, you can access it forever.
- Certificate: When you finish, you’ll get a certificate.
4. Intro to Deep Learning with PyTorch– Udacity FREE Courses
Where: Udacity
Teacher: Various
Time: Go at your own pace
PyTorch for Free
This Udacity course is free and teaches you about deep learning with PyTorch.
What You’ll Gain:
- Learning PyTorch: You’ll get comfortable with PyTorch, a popular deep-learning tool.
- Hands-On Practice: There are practical exercises to help you practice.
5. Introduction to Deep Learning & Neural Networks with Keras
Where: Coursera
Teacher: Deeplearning.ai
Time: About 3–4 months (Go at your own pace)
Keras for Deep Learning
This Coursera course focuses on deep learning using Keras, an easy-to-use framework.
What’s Inside:
- Course Topics: You’ll learn deep learning and neural networks, with a focus on Keras.
- Hands-On Experience: Practical assignments let you practice what you learn.
- Flexible Learning: You can study when it suits you.
- Certification: When you finish, you get a certificate.
6. Deep Neural Networks with PyTorch
Where: Coursera
Teacher: Joseph Santarcangelo
Time: Go at your own pace
Deep Learning with PyTorch
This Coursera course is great if you want to learn about deep neural networks with PyTorch.
Covered Topics:
- Course Content: You’ll explore deep neural networks and how to build and train them using PyTorch.
- Practice: There are practical exercises to help you learn effectively.
7. Intro to TensorFlow for Deep Learning– Udacity FREE Course
Where: Udacity
Teacher: Various
Time: Go at your own pace
Learning TensorFlow for Free
This Udacity course gives you a solid introduction to deep learning with TensorFlow, a popular tool.
What You’ll Get:
- TensorFlow Basics: Learn the fundamentals of TensorFlow, a widely used deep learning tool.
- Hands-On Learning: Practice what you learn with exercises.
- Free Access: The course is free, so anyone can learn about deep learning with TensorFlow.
Check More-> 15 Best Neural Network Courses- Bestseller & FREE
Conclusion
These seven resources are fantastic for learning about neural networks, no matter if you’re starting out or want to get better. Keep in mind that the key is to keep learning and practicing. So, pick the resource that suits you best and start your journey into the exciting world of neural networks!
