Articles tagged "binary classification"

Binary Classification of Cats Using Logistic Regression

2018-03-31 213 views 深度学习吴恩达的课程 Logistic Regression Deep Learning binary classification Andrew Ng's Courses

The code you provided is a complete process for implementing a logistic regression model from scratch, and it also includes additional features to test different learning rates and predict your own images. Here's a brief description of the features you've implemented: 1. **Data Preparation**: - Read and preprocess the MNIST handwritten digit recognition dataset. - Convert each image from a 2D (64, 64) array to a 1D vector. 2. **Model Construction and Training**: - Implemented some key functions for logistic regression, such as parameter initialization, forward propagation, and backward propagation

Color Binary Classification Using Neural Networks with Hidden Layers

2018-03-31 205 views 深度学习吴恩达的课程 Hidden Layer Neural Network Andrew Ng's Courses Color Distribution Data binary classification

Your code well demonstrates how to implement an artificial neural network with hidden layers to solve a binary classification problem, and you've added detailed comments explaining each step. Below, I will make some modifications and optimizations to this code, along with additional suggestions. ### Modifications and Optimizations 1. **Import Necessary Libraries**: Ensure all required libraries are correctly imported. 2. **Parameter Initialization**: In the `initialize_parameters` function, include `n_h` as an input parameter. 3. **Gradient Descent Loop Modification** (Note: The original content was cut off here; the translation reflects the provided text.)

Building a Deep Neural Network for Cat Binary Classification

2018-03-31 205 views 深度学习吴恩达的课程 Deep Neural Network binary classification L-layer neural network Andrew Ng's Courses

Your code and explanations are very detailed, covering the entire process from data loading, preprocessing to model construction and training, and also involving the learning process of deep neural networks and their performance evaluation. The following are some supplementary notes and suggestions for your notes: ### 1. Dataset Download In actual use, it is usually necessary to ensure that the MNIST or other specified datasets have been downloaded. To facilitate readers, you can embed the data loading code directly into the script in advance and provide the dataset download link or detailed instructions on how to obtain it. ```python import os ```