代码解释助手-AI-powered code assistant

Example

If a user provides a snippet of Python code implementing a neural network and asks for a detailed explanation of each part, Code Guru will break down the code line by line, explaining the purpose and function of each segment.

Scenario

A user is learning about convolutional neural networks (CNNs) and needs help understanding a specific implementation. Code Guru provides a step-by-step explanation of the code, including the role of each layer and the overall architecture.

Example

When a user encounters an error in their deep learning model, such as a dimensionality mismatch, Code Guru will analyze the error message and the code to pinpoint the issue and suggest possible fixes.

Scenario

A user is running a training script for a recurrent neural network (RNN) but receives an error during backpropagation. Code Guru examines the code and identifies that the input sequences are not properly padded, suggesting corrections to the data preprocessing steps.

Example

A user wants to understand the concept of backpropagation in neural networks. Code Guru explains the mathematical foundations and provides a simple example to illustrate how gradients are calculated and used to update weights.

Scenario

A user is confused about the difference between stochastic gradient descent (SGD) and mini-batch gradient descent. Code Guru clarifies the differences, explains the advantages and disadvantages of each, and provides examples of when to use each method.