AI News, Add Metrics Reporting To Improve Your TensorFlow Neural Network Model

Add Metrics Reporting To Improve Your TensorFlow Neural Network Model

Today, we're going to discuss how to add accuracy reporting to an already existing neural network.

initializer=tf.glorot_uniform_initializer())

initializer=tf.constant_initializer(0.1))

Here, we have a neural network that is learning to classify images from the classical MNIST dataset by using a simple one-layer neural network with a ReLU activation and using gradient descent on cross-entropy.

What we're going to do is we're going to take this model which we can see that it trains here, and we're going to look at the accuracy of the model and we're going to play around with a few things to see what we can do to make it work better.

So what this is going to say, it’s going to ask us to find the value in our y and y_ tensors that has the highest value and then it’s going to compare if it is the same index for each tensor.

y_: mnist.test.labels}))

So to do that, we're going to run our test dataset through our model using a feed_dict where here, the feed_dict is just going to consist of our entire test dataset.

y_: mnist.test.labels}))

If we are instead running the train step and feeding these variables, our comparison would be inaccurate because we would be training the data on the test dataset which would make it impossible to accurately compare results.

initializer=tf.glorot_uniform_initializer())

initializer=tf.constant_initializer(0.1))

y_: mnist.test.labels}))

y_: mnist.test.labels}))

initializer=tf.glorot_uniform_initializer())

initializer=tf.constant_initializer(0.1))

Here, we have a neural network that is learning to classify images from the classical MNIST dataset by using a simple one-layer neural network with a ReLU activation and using gradient descent on cross-entropy.

What we're going to do is we're going to take this model which we can see that it trains here, and we're going to look at the accuracy of the model and we're going to play around with a few things to see what we can do to make it work better.

So what this is going to say, it’s going to ask us to find the value in our y and y_ tensors that has the highest value and then it’s going to compare if it is the same index for each tensor.

y_: mnist.test.labels}))

So to do that, we're going to run our test dataset through our model using a feed_dict where here, the feed_dict is just going to consist of our entire test dataset.

y_: mnist.test.labels}))

If we are instead running the train step and feeding these variables, our comparison would be inaccurate because we would be training the data on the test dataset which would make it impossible to accurately compare results.

initializer=tf.glorot_uniform_initializer())

initializer=tf.constant_initializer(0.1))

y_: mnist.test.labels}))

y_: mnist.test.labels}))

Tracking Accuracy: An Essential Step to Improve Your Forecasting Process

If you want to improve your forecasting process then it's critical to track forecast accuracy. It is only by measuring and monitoring performance that your team can ...

HOW TO improve airgun accuracy in 5 steps

How to be more accurate with your spring or pneumatic air gun. Here's a handful of tips to improve your accuracy when shooting. Whether it's through simple ...

Improving classification accuracy through model stacking

All source code, sample data and slides can be downloaded from this link: Model ..

Revolver Accuracy - Part 1

We look at a common cause for revolver inaccuracy, aside from shooter error. By checking each cylinder throat for the proper diameter we can tell if we need to ...

AD adenta LAB TEC Surgical Model Accuracy Device (SMAD)

ADENTA LAB TEC Surgical Model Accuracy Device The Surgical Model Accuracy Device (SMAD) was developed in order to undertake all surgical ...

How to tailor a bullet for a specific rifle improved accuracy

I go over how I make tailored round for my 308 and explain why it will improve accuracy.

How to Boost Your Forecast Accuracy by Modeling the Impact of Promotions and Other

Does your forecast accuracy suffer as a result of product promotions, stockouts, large one-time orders and/or other irregular events? In this educational one-hour ...

Effects of Action Screw Torque on 22 LR Accuracy - 50 & 100 Yard Test

Testing the effect on accuracy of various amounts of torque on the action screws of the CZ 455 Precision Trainer at 50 yards and 100 yards with 4 shot groups ...

Analyzing Elastomers with Higher Accuracy

Elastomers are complex materials exhibiting highly nonlinear behavior that may be anisotropic, time and rate dependent. Simulating elastomeric products ...

Option Pricing using Trees - Increasing time steps and improving result accuracy

In the final part we check the accuracy of the estimated value of a European call option using the Efficient Binomial tree method against the actual value of the ...