filmov
tv
Visualizing hidden layers in convolutional neural networks in Keras (Python)

Показать описание
This video shows how to visualize hidden layers in a Convolutional Neural Network (CNN) in the Keras Python library. We use the outputs of the intermediate layers and also the gradients for visualization.
References:
Deep Learning with Python (Francois Chollet)
Examples Github code:
How to detect objects in images using Keras pre-trained convolutional neural network (Python):
Convolutional Neural Networks - Chapter 9 of the Deep Learning book (Goodfellow et al.):
References:
Deep Learning with Python (Francois Chollet)
Examples Github code:
How to detect objects in images using Keras pre-trained convolutional neural network (Python):
Convolutional Neural Networks - Chapter 9 of the Deep Learning book (Goodfellow et al.):
Visualize hidden Convolution layers | flask webapp | View hidden layer outputs
Visualizing hidden layers in convolutional neural networks in Keras (Python)
Visualization of Hidden Layers in Flow Based Neural Networks
Convolutional Neural Networks Explained (CNN Visualized)
Understand Hidden Layers. #deeplearning #machinelearning #chatgpt #neuralnetworks
Convolutional Neural Network (CNN) Visualization
What are Convolutional Neural Networks (CNNs)?
Visualizing Convolutional Neural Networks using Lucid
Simple explanation of convolutional neural network | Deep Learning Tutorial 23 (Tensorflow & Pyt...
Visualization of a Convolutional Neural Network
Operations in Convolutional Neural Networks | Convolution, Pooling and Fully Connected Layer
Layers in a Neural Network explained
An excellent illustration of how CNN work! #artificialintelligence #deeplearning
152 - How to visualize convolutional filter outputs in your deep learning model?
Visualizing CNNs
Neural Networks explained in 60 seconds!
Demonstration of how convolutional neural networks (CNNs) work for pattern recognition #science
Convolutional Networks
How Convolutional Layers Work in CNNs: Explained in 1 Minute #machinelearning #ai #codemonarch
From fully connected layers to convolutional layers
8.2 Backpropagation and Gradient-Based Visualization in Convolutional Neural Networks
Convolutional neural network kernels during training on MNIST dataset
Visualizing & Applying Convolution Neural Networks - M4S44 [2019-06-21]
How to visualize neural network parameters and activity - Justin Shenk
Комментарии