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Revisions

  • Prepared the Backend System documentation covering NumPy CPU computation, optional TensorFlow integration, CUDA GPU acceleration, backend architecture, installation, device detection, memory management, numerical precision, interoperability, benchmarking, reliability, security, and testing.

    @krishanth7 krishanth7 committed Oct 15, 2026
    987fb55
  • Prepared the Optimization documentation covering SGD, momentum, Adam, AdamW, learning-rate scheduling, weight decay, gradient clipping, gradient accumulation, optimizer state, convergence, numerical stability, performance, and testing.

    @krishanth7 krishanth7 committed Oct 15, 2026
    c2acd92
  • Prepared the Neural Networks documentation covering model architectures, trainable parameters, linear and convolutional layers, recurrent networks, LSTM/GRU, attention, transformers, activation functions, loss functions, training workflows, evaluation, serialization, and testing.

    @krishanth7 krishanth7 committed Oct 15, 2026
    991f45f
  • Prepared the Automatic Differentiation documentation covering computational graphs, forward and reverse-mode differentiation, chain-rule derivatives, gradient accumulation, broadcasting, neural network backpropagation, numerical gradient verification, performance, and testing.

    @krishanth7 krishanth7 committed Oct 15, 2026
    e301df8
  • Prepared the Tensor Engine documentation, covering tensor representations, shapes, data types, broadcasting, mathematical operations, linear algebra, reductions, indexing, numerical stability, memory management, and gradient integration.

    @krishanth7 krishanth7 committed Oct 15, 2026
    286bfe7
  • Prepared the Framework Architecture documentation, covering tensor computing, automatic differentiation, neural network modules, training workflows, computational backends, serialization, developer tooling, testing, security, and extensibility.

    @krishanth7 krishanth7 committed Oct 15, 2026
    42c4696
  • Prepared the official Quick Start guide covering environment verification, tensor computing fundamentals, automatic differentiation, neural network concepts, training workflows, CLI tools, and troubleshooting.

    @krishanth7 krishanth7 committed Oct 15, 2026
    a76cb5d
  • The official Installation Wiki page is now prepared, covering Windows, Linux, and macOS setup, Python environments, optional dependencies, CUDA configuration, installation verification, and troubleshooting. The documentation connects with Home → Getting Started → Installation → Quick Start to provide a consistent developer onboarding experience.

    @krishanth7 krishanth7 committed Oct 15, 2026
    9f41252
  • Getting Started Updated

    @krishanth7 krishanth7 committed Oct 15, 2026
    a7fcb80
  • Initial Home page

    @krishanth7 krishanth7 committed Oct 15, 2026
    747d256