Cracking the Mystery: Convolutional Neural Networks (CNNs) with Python and Tensorflow
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Convolutional neural networks are a type of neural network specialized in processing data that is in a grid format, for example, images. In fact, they are commonly used to classify images, although they are also used to make forecasts. This video explains visually and step by step how convolutional neural networks work and how to program them using python and tensorflow. 👉 Xiperia offers business consulting that transforms data into actionable knowledge to achieve your business goals. Learn more at https://www.xiperia.com To cite this educational resource use the following reference: Gutiérrez-García, JO [Machine Code]. (2024, July 9). Deciphering the Mystery: Convolutional Neural Networks (CNNs) with Python and Tensorflow [Video]. YouTube. [Include video URL here] ********************************************** To guide your learning, in this link ( • Artificial Intelligence (AI) Course... ) you will find a sequential guide to learn: 1. Basic Programming with Python; 2. Data Management; 3. Data Visualization; 4. Data Analysis; and 5. Machine Learning and Data Science. ******************************************** Video Index: 0:00 Introduction 0:45 RGB Images 3:21 Architecture of a Convolutional Network 5:55 Feature Map 9:26 Filters or Kernels 10:30 Convolution Operation 14:08 Padding or Filling 18:59 Detector Stage (ReLUs) 24:09 Pooling Operation 26:15 Max and Average Pooling 26:55 Stride or Stride 28:55 Stride or Stride 31:53 Dataset for Example 32:43 Convolutional Network with Python, Tensorflow and Keras The code and data are available at: https://github.com/CodigoMaquina/code... ⭐ Support Código Máquina by giving a Like, Commenting, Sharing or with a Super Thanks. ⭐ From the co-founder of Código Máquina, SINHAKI natural cosmetics products: https://www.amazon.com.mx/stores/sinH... #DeepLearning #DeepLearning #MachineLearning #NeuralNetworks #IA #AI #Python #DataScience #DataScience #ArtificialIntelligence #MachineLearning #MachineLearning
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