Somebody explain me about neural networks and how's they used in deep learning?

Question

Explain in details....

Answer 1

Hi, Naveed Ahmad !

Here is somebody explain a lot of things in detail. Maybe you can start there:

https://www.ibm.com/cloud/blog/ai-vs-machine-learning-vs-deep-learning-vs-neural-networks

Answer 2

Naveed Ahmad Neural networks are powerful models inspired by the human brain. They consist of interconnected artificial neurons that learn from data to make predictions. To learn about neural networks, start with the basics of mathematics, linear algebra, and calculus. Then, study the structure, activation functions, and training algorithms of neural networks. Understand concepts like forward propagation, backpropagation, and gradient descent. To gain practical experience, work on coding projects using deep learning libraries like TensorFlow or PyTorch. Learn from online courses, tutorials, and books. Practice and experimentation are essential to mastering neural networks.

Answer 3

Naveed Ahmad Also Neural networks are the foundation of deep learning. In deep learning, neural networks with multiple hidden layers are used to learn complex patterns and representations from large amounts of data. These networks can automatically extract features, classify objects, recognize speech, translate languages, and more. By leveraging the power of neural networks, deep learning algorithms achieve state-of-the-art performance in various domains such as computer vision, natural language processing, and speech recognition.

Answer 4

You could try the Sololearn Machine Learning course. Lots of detail there.

https://www.sololearn.com/Course/machine-learning/?ref=app

Answer 5

Vibhor thanks man.