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[D] Where can I find pre-trained GANs for TensorFlow? • r/MachineLearning

#artificialintelligence

I'm finding it very hard to find online any GAN model source code which comes with pre-trained parameters. Specifically, I'm interested in image generation (from random noise input), trained on a "challenging" data set such as ImageNet (even if downsampled...) (I'm less interested in MNIST...)


Android TensorFlow Machine Learning Example

#artificialintelligence

As we all know Google has open-sourced a library called TensorFlow that can be used in Android for implementing Machine Learning. TensorFlow is an open-source software library for Machine Intelligence provided by Google. I searched the internet a lot but did not find a simple way or a simple example to build TensorFlow for Android. After going through many resources, I was able to build it. Then, I decided to write on it so that it would not take time for others.


Android TensorFlow Machine Learning Example – Mindorks

@machinelearnbot

As we all know Google has open-sourced a library called TensorFlow that can be used in Android for implementing Machine Learning. TensorFlow is an open-source software library for Machine Intelligence provided by Google. I searched the internet a lot but did not find a simple way or a simple example to build TensorFlow for Android. After going through many resources, I was able to build it. Then, I decided to write on it so that it would not take time for others.


TensorFlow.js Quick Start Tutorial

#artificialintelligence

If you want a detailed physical explanation, watch this professor's breakdown. Now that our model is trained, we can feed it values to make predictions. TensorFlow runs in the context of a session, so we need to call dataSync on the Tensor value to extract the data out into something usable in JavaScript. We can run this method as an event handler when the file of an HTML form input changes. Training a model can be extremely CPU and memory intensive - that's why most models are trained on high-powered GPUs that can distribute billions of matrix multiplication operations efficiently.


Debugging the optmization run while training variables of a pre-trained tensorflow model

#artificialintelligence

I am loading a pre-trained model and then extracting only the trainable variables which I want to optimize (basically change or fine-tune) according to my custom loss. The problem is the moment I pass a mini-batch of data to it, it just hangs and there is no progress. I used Tensorboard for visualization but don't know how to debug when there is no log info available. I had put some basic print statements around it but didn't get any helpful information.