Convolutional Neural Networks for Deep Learning

What's inside

5 lessons · 1 project

• 01
  Introduction to CNNs

  <p>Learn about the basics of digital images, convolutional neural networks (CNNs), and how CNNs learn from images to carry out computer vision tasks. Train a basic CNN-based image classification model using Keras.</p>

  120 min
• 02
  CNN Architecture

  <p>Design and train a CNN model based on the AlexNet architecture and how to potentially improve the model's performance through hyperparameter tuning.&nbsp;</p>

  120 min
• 03
  Regularization in Deep Learning

  <p>Implement different regularization techniques to tackle overfitting in deep learning models.&nbsp;</p>

  120 min
• 04
  Advanced CNN Architecture

  <p>Learn about Residual Neural Networks (ResNets) and implement the ResNet18 architecture using TensorFlow's Functional API in order to train a model for a classification task.</p>

  120 min
• 05
  Transfer Learning

  <p>Learn how to use previously trained models for other, similar tasks using a different dataset than the original model was trained on.&nbsp;</p>

  120 min
• 06
  Guided Project: Detect Pneumonia Using X-Ray Images with CNNs and Transfer Learning Project

  For this project, you'll assume the role of a Deep Learning Engineer tasked with developing models to help hospitals diagnose pneumonia in children using chest X-ray images.

  120 min

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