Deep Learning
Deep Learning, as part of Technology Data Science within Artificial Intelligence and Technology, is a branch of machine learning based on artificial neural networks with representation learning. It can process a wide range of data resources and has achieved significant results in speech recognition, image recognition, natural language processing, and other applications. Deep Learning models are trained by using large sets of data and neural network architectures that contain many layers which enable the learning of complex patterns in data. These models can automatically learn from data and improve over time, making them particularly useful for tasks such as prediction, classification, and recommendation.
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External Links
- [deeplearningweekly.com] Deep Learning Weekly | Substack
- [DeepLearningConsulting.net] Deep Learning Consulting
- [deeplearningbook.org] Deep Learning
- [deeplearning4j.konduit.ai] Deeplearning4j Suite Overview | Deeplearning4j
- [deeplearning.ai] DeepLearning.AI: Start or Advance Your Career in AI
- [d2l.ai] Dive into Deep Learning — Dive into Deep Learning 1.0.3 documentation
- [deeptalk.lambdalabs.com] DeepTalk - Deep Learning Community
- [m4dl.com] Mathematics for Deep Learning and Artificial Intelligence
- [keras.io] Keras: Deep Learning for humans
- [vastdata.com] Data Platform Built for Deep Learning and AI
- [rtbhouse.com] Technology Powered by Deep Learning | RTB House
- [avlf.com] Audio Visual Learning Forum - Delightful deep dives
- [mxnet.apache.org] Apache MXNet | A flexible and efficient library for deep learning.
- [caffe.berkeleyvision.org] Caffe | Deep Learning Framework
- [p300.com] A New Method for Detecting P300 Signals by Using Deep Learning: Hyperparameter Tuning in High-Dimensional Space by Minimizing Nonconvex Error Function - PMC
- [ipc2-isoelectric-point.org] IPC 2.0 - Isoelectric point and pKa prediction for proteins and peptides using deep learning
- [Gpus.com] GPU Cloud - VMs for Deep Learning | Lambda