ModelCompressionRL
Library for compression of Deep Neural Networks. (by GabrielGlzSa)
tensorflow-deep-learning
All course materials for the Zero to Mastery Deep Learning with TensorFlow course. (by mrdbourke)
| ModelCompressionRL | tensorflow-deep-learning | |
|---|---|---|
| 2 | 1 | |
| 0 | 4,901 | |
| - | - | |
| 2.6 | 6.1 | |
| over 1 year ago | 16 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | MIT License |
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Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ModelCompressionRL
Posts with mentions or reviews of ModelCompressionRL.
We have used some of these posts to build our list of alternatives
and similar projects.
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Requesting help with Custom Layers (Layer Subclassing) - Model fit builds the model again! [Keras]
I saw that the number of filters depends on the height, is the height the same for all images? I guess so since you say that moving the Conv2D to another layer fixes that problem. If my guess is right, the error is that when the model is being build, height is None and you are trying to divide None by a number. To solve this problem you have to get the shape using h = tf.shape(inputs)[1] as 0 is the batch dimension. As for getting the tf.concat as a layer. You can use tf.keras.layers.concatenate, it works the same as tf.concat, but it is a layer. I am using it in a layer that performs to parallel convolutions and then concatenates both convolutions. When I print the summary I only get the name of the layer, not the tf.concat as you mention. Search for the FireLayer class in my code
- Adding new block/inputs to non-sequential network
tensorflow-deep-learning
Posts with mentions or reviews of tensorflow-deep-learning.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing ModelCompressionRL and tensorflow-deep-learning you can also consider the following projects:
ai-art-generator - For automating the creation of large batches of AI-generated artwork locally.
labml - 🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
docs - TensorFlow documentation
introtodeeplearning - Lab Materials for MIT 6.S191: Introduction to Deep Learning
deep_navigation - Deep Learning based wall/corridor following P3AT robot (ROS, Tensorflow 2.0)
AI-Art-Generator - A program that can add an artistic touch to any image.
TensorFlow2.0_Notebooks - Implementation of a series of Neural Network architectures in TensorFow 2.0
tensorflow-deep-learning vs ai-art-generator
tensorflow-deep-learning vs labml
tensorflow-deep-learning vs docs
tensorflow-deep-learning vs introtodeeplearning
tensorflow-deep-learning vs deep_navigation
tensorflow-deep-learning vs AI-Art-Generator
tensorflow-deep-learning vs TensorFlow2.0_Notebooks