Future of Neural Networks in Data Science
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su123 on
Feb 14, 2025; 7:50am
URL: http://i-come-to-talk-story-welcomes-all-as-we-appreciate-the-many-sk.22.s1.nabble.com/Future-of-Neural-Networks-in-Data-Science-tp7560579.html
Future of Neural Networks in Data Science
Integration with Quantum Computing: May accelerate computations and solve larger problems.
Neuro-Symbolic AI: Combining neural networks with rule-based systems for better interpretability.
Energy-Efficient Models: Techniques like model pruning and quantization to reduce resource usage.
AI for Edge Devices: Running neural networks on devices with limited computational power.
Data Science Course in PuneNeural Network Frameworks for Data Science
TensorFlow: Google’s framework for building scalable models.
PyTorch: Known for its dynamic computation graph and flexibility.
Keras: High-level API for quick prototyping.
MXNet and Caffe: Efficient frameworks for deep learning.
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