Analogue to Math and ML libraries like numpy or pytorch
From scratch in plain java
- Tensors
- Operations: transposition, matrix multiplication, convolution etc.
- Convenient creation of your own operations
- Dynamic computation graphs
- AutoGrad
- Build Machine and Deep Learning models
- Build Computer Vision algorithms
- Physical calculations
Element-by-element execution of operations, without GPU acceleration of calculations.
I would like to add this feature, but learning OpenCL will take a lot of time.
"The problem with programmers
is that when they make a car,
they are at the same time, reinvent
the wheel, steel mining methods
and traffic rules"
- Weidman, S. (2019). Deep learning from scratch: Building with Python from first principles (First edition). O’Reilly Media, Inc.
- Patterson, J., & Gibson, A. (2017). Deep learning: A practitioner’s approach (First edition). O’Reilly.
- Евгений Разинков. (2021). Лекции по Deep Learning. https://www.youtube.com/playlist?list=PL6-BrcpR2C5QrLMaIOstSxZp4RfhveDSP
- Raschka, S., Liu, Y., Mirjalili, V., & Dzhulgakov, D. (2022). Machine learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python. Packt.
- Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep learning. The MIT press.
- Rashid, T. (2016). Make Your own neural network. CreateSpace Independent Publishing Platform.