If you're diving into the world of deep learning, here are some valuable resources to get you started.
Tutorials and Guides
- Deep Learning with Python - A comprehensive book that provides a deep dive into the field of deep learning.
- TensorFlow tutorials - TensorFlow's own tutorials, a great starting point for learning TensorFlow.
Online Courses
- Deep Learning Specialization by Andrew Ng - A popular course series taught by the renowned Andrew Ng.
- Deep Learning Bootcamp - A more hands-on approach to learning deep learning.
Community Forums
- Reddit r/MachineLearning - A vibrant community where you can ask questions and share ideas.
- Stack Overflow - Find solutions to specific deep learning problems.
Tools and Libraries
- Keras - High-level neural networks API, written in Python and capable of running on top of TensorFlow.
- PyTorch - An open-source machine learning library based on the Torch library, preferred for its ease of use and flexibility.
Research Papers
- The Unsupervised Learning of Visual Representations by a Deep Convolutional Network - A seminal paper on deep learning for image recognition.
- Sequence to Sequence Learning with Neural Networks - A paper that introduced the seq2seq architecture for tasks like machine translation.
Deep Learning Neural Network
If you're looking for more in-depth resources or discussions, feel free to join our Deep Learning Discussion Forum for further exploration.