Neural Network Frameworks for Data Science

Neural Network Frameworks for Data Science

1. TensorFlow: Google’s framework for building scalable models.
2. PyTorch: Known for its dynamic computation graph and flexibility.
3. Keras: High-level API for quick prototyping.
4. MXNet and Caffe: Efficient frameworks for deep learning.

Future of Neural Networks in Data Science

1. Integration with Quantum Computing: May accelerate computations and solve larger problems.
2. Neuro-Symbolic AI: Combining neural networks with rule-based systems for better interpretability.
3. Energy-Efficient Models: Techniques like model pruning and quantization to reduce resource usage.
4. AI for Edge Devices: Running neural networks on devices with limited computational power.

best data science course in pune with placement

Data Science Course in Pune