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Gradient Checking in Deep Learning Neural Networks
Apr 16, 2018 · Deep Learning

Thank you for your sharing and explanation! Indeed, Gradient Checking can effectively verify whether the gradient calculations in the backpropagation algorithm are correct. This technique is very usef

# Deep Learning # Gradient Check # Neural Network 746 views
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Theoretical Knowledge Points of "Improving Deep Neural Networks"
Apr 15, 2018 · Deep Learning

### Practical Deep Learning and Optimization - **Dataset Splitting**: A common split ratio is 98% for training, 1% for validation, and 1% for testing. Increasing data volume or applying regularizatio

# Neural Network # Andrew Ng's Courses # Deep Learning 736 views
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Weight Initialization in Deep Learning Neural Networks
Apr 15, 2018 · Deep Learning

Thank you for sharing these valuable study notes and reference materials! Indeed, the way weights are initialized in deep learning has a significant impact on the model's performance. Using appropriat

# Weight Initialization # Andrew Ng's Courses # Deep Learning 716 views
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The Use of Regularization in Deep Learning Neural Networks
Apr 15, 2018 · Deep Learning

This article provides a detailed introduction to three commonly used regularization techniques in deep learning: L2 regularization, Dropout, and a 3-layer network model with regularization. It also en

# Andrew Ng's Courses # Deep Learning # Regularization 775 views
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Implementing a Simple Web Crawler with Python2
Apr 10, 2018 · Other

This project is a simple web crawler designed to scrape relevant content from CSDN blogs and save it as HTML files. It includes the basic process of a crawler: crawling, parsing, and storage. ### Cra

# web crawler # Python # CSDN Blog 1,015 views
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Binary Classification of Cats Using Logistic Regression
Mar 31, 2018 · Deep Learning

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 im

# Logistic Regression # Deep Learning # binary classification 754 views
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Color Binary Classification Using Neural Networks with Hidden Layers
Mar 31, 2018 · Deep Learning

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

# Hidden Layer Neural Network # Andrew Ng's Courses # Color Distribution Data 798 views
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Building a Deep Neural Network for Cat Binary Classification
Mar 31, 2018 · Deep Learning

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 ne

# Deep Neural Network # binary classification # L-layer neural network 973 views
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Implementing Common Deep Learning Functions with Python's Numpy
Mar 30, 2018 · Deep Learning

Your notes are very detailed and cover multiple important concepts and techniques in deep learning, including activation functions, loss functions, etc. They truly help beginners understand and master

# Deep Learning # numpy # Activation Function 845 views
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Theoretical Knowledge Points of "Neural Networks and Deep Learning"
Mar 29, 2018 · Andrew Ng's Courses

This note covers some key concepts and formulas from Professor Andrew Ng's deeplearning.ai course series. Below is a categorized summary and supplementary explanation of these contents: ### 1. Fundam

# Deep Learning # coursera # Andrew Ng's Course 685 views