Introduction to Deep learning

Introduction to Deep learning

Artificial intelligence, machine learning, and deep learning is the future of our new generation. Deep learning is a branch of machine learning which is completely based on artificial neural networks, as neural network is going to mimic the human brain so deep learning is also a kind of mimic of human brain.

Artificial intelligence, machine learning, and deep learning is the future of our new generation. It is a revolutionary technology that will shape our old ways into new methods with reliable, accurate, and faster performance. Artificial intelligence is a technique that enables computers to mimic human behavior. I want to define AI as the ability to process information to inform future decisions. Now, artificial intelligence is simply the field that focuses on building artificial algorithms that can perform better than human performance. Now the machine learning the subset of artificial intelligence. Specifically, it focuses on teaching algorithms how to do this task without being explicitly programmed to do the task. Let’s break down what is deep learning.

What is Deep Learning?

Now the deep learning is the subset of machine learning, which this idea one step further and says how can we extract the usage patterns to inform those future predictions and make predictions. It is the field based on learning and improving its own algorithms by training the artificial neural network.

The artificial neural network is inspired by human brains designed to mimic human behavior and learn.The artificial neural network is consists of many layers. The deep neural network is the type of neural network that can perform very complex tasks on structured and unstructured data like databases, images, sounds, text, etc. It is the fasted emerging field of machine learning and AI. All-overs areas of the industry are using it to create new solutions to problems.







data-science deep-learning machine-learning artificial-intelligence python

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PyTorch for Deep Learning | Data Science | Machine Learning | Python

PyTorch is a library in Python which provides tools to build deep learning models. What python does for programming PyTorch does for deep learning.

Artificial Intelligence (AI) vs Machine Learning vs Deep Learning vs Data Science

Artificial Intelligence (AI) vs Machine Learning vs Deep Learning vs Data Science: Artificial intelligence is a field where set of techniques are used to make computers as smart as humans. Machine learning is a sub domain of artificial intelligence where set of statistical and neural network based algorithms are used for training a computer in doing a smart task. Deep learning is all about neural networks. Deep learning is considered to be a sub field of machine learning. Pytorch and Tensorflow are two popular frameworks that can be used in doing deep learning.

Data Science Projects | Data Science | Machine Learning | Python

Practice your skills in Data Science with Python, by learning and then trying all these hands-on, interactive projects, that I have posted for you.

Data Science Projects | Data Science | Machine Learning | Python

Practice your skills in Data Science with Python, by learning and then trying all these hands-on, interactive projects, that I have posted for you.

Data Science Projects | Data Science | Machine Learning | Python

Practice your skills in Data Science with Python, by learning and then trying all these hands-on, interactive projects, that I have posted for you.