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Showing posts from December, 2024

Building a Convolutional Neural Network for Hair Type Classification: A Hands-On Approach

In the Machine Learning Zoomcamp 2024 , led by Alexey Grigorev at DataTalksClub, we participants are tasked with building a convolutional neural network (CNN) for classifying hair types. Unlike using pre-trained models, the goal here is to design a model from scratch to handle a dataset of hair images, which will be split into training and test sets. This exercise provides a deep dive into the essential principles of CNNs, including data preparation, model construction, and evaluation. Dataset and Model Architecture The dataset for this homework consists of approximately 1,000 images of hair, divided into training and test sets. Each image is of size 200x200x3 (200 pixels by 200 pixels with 3 color channels—RGB). The objective is to design a CNN that will learn from this dataset and predict the hair type. The model construction follows a typical CNN pipeline, beginning with input processing and progressing through various layers. Key Layers in the Model Input Layer: The model begins by...

A solid foundational chapter on Neural Networks and Deep Learning by Alexey Grogorev

 The "Neural Networks and Deep Learning" section in the Machine Learning Zoomcamp 2024 by Alexey Grigorev at DataTalksClub introduces the foundational concepts of deep learning, particularly convolutional neural networks (CNNs) and their applications. Here's a summary of key points from Chapter 08, which focuses on practical techniques for leveraging deep learning frameworks like TensorFlow and Keras. Overview of Deep Learning Deep learning is a subset of machine learning that involves neural networks with many layers (hence "deep"). These networks excel in tasks like image recognition, natural language processing, and game playing due to their ability to learn from large amounts of data. In this chapter, students are introduced to CNNs, a type of deep learning model highly effective for image classification. CNNs for Image Classification The practical applications in this section involve classifying images using Convolutional Neural Network. A popular dataset u...