Search results
Deep learning is the subset of machine learning methods based on neural networks with representation learning. The adjective "deep" refers to the use of multiple layers in the network. Methods used can be either supervised, semi-supervised or unsupervised.
- Representation Learning
An autoencoder consisting of an encoder and a decoder is a...
- Deep Belief Networks
In machine learning, a deep belief network (DBN) is a...
- Semi-Supervised
Weak supervision is a paradigm in machine learning, the...
- Deep Reinforcement Learning
The promise of using deep learning tools in reinforcement...
- Applications of Artificial Intelligence
Many AI platforms use Wikipedia data, mainly for training...
- Perceptron
In machine learning, the perceptron (or McCulloch–Pitts...
- Convolutional Neural Networks
Convolutional neural network (CNN) is a regularized type of...
- Transformer (deep learning architecture)
A transformer is a deep learning architecture developed by...
- Neural network (machine learning)
In machine learning, a neural network (also artificial...
- Representation Learning
- What Is Deep Learning?
- Examples of Deep Learning
- How to Get Involved with Deep Learning Technology
- Careers in Deep Learning
- Learn About Deep Learning with Expert-Level Guidance on Coursera
Deep learning is a branch of machine learningthat is made up of a neural network with three or more layers: 1. Input layer: Data enters through the input layer. 2. Hidden layers: Hidden layers process and transport data to other layers. 3. Output layer: The final result or prediction is made in the output layer. Neural networks attempt to model hum...
Deep learning is a subset of machine learningthat is made up of a neural network with three or more layers. A neural network attempts to model the human brain's behavior by learning from large data sets. Deep learning drives many AI applications that improve the way systems and tools deliver services, such as voice-enabled technology and credit car...
Whether your interest in deep learning is personal or professional, you can gain more expertise through online resources. If you're new to the field, consider taking a free online course like Introduction to Generative AI, offered by Google. Taking a free class from an industry leader in technology can help you build the foundational knowledge you ...
Just like in machine learning and artificial intelligence, jobs in deep learning are experiencing rapid growth. Deep learning helps organizations and enterprises develop ways to automate tasks and do things better, faster, and cheaper. There are a wide variety of career opportunities that utilize deep learning knowledge and skills. In addition to d...
Led by AI expert Andrew Ng, this 100-percent self-paced, online Deep Learning Specializationincludes the following courses for a strong overview of deep learning techniques and fundamentals: 1. Neural Networks and Deep Learning 2. Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 3. Structuring Machine Learning ...
Apr 29, 2024 · Deep learning, also known as neural organized learning, occurs when artificial neural networks learn from large volumes of data. Deep learning algorithms perform tasks repeatedly, tweaking them each time to improve the outcome. The algorithms depend on vast amounts of data to drive "learning."
Deep learning (also called deep structured learning or hierarchical learning) is a kind of machine learning, which is mostly used with certain kinds of neural networks. [1] As with other kinds of machine-learning, learning sessions can be unsupervised, semi-supervised, or supervised. In many cases, structures are organised so that there is at ...
