Comments (6)
The size of acc_inputs is (BATCH_SIZE, WIDE, INTER_DIM/2, 1), where INTER_DIM/2 = SEPCTURAL_SAMPLES32 (3 means x,y,z axises of the sensor input, and 2 means the real and imaginary parts of the FFT result). Then every 6 values on acc_inputs[2] correspond to a single element. Therefore, we use kernel_size = [1, 23CONV_LEN] and stride = [1, 2*3] for the first convolutional layer.
Btw, you can also reshape acc_inputs into (BATCH_SIZE, WIDE, SEPCTURAL_SAMPLES, 6). Then you can have the first convolutional layers with kernel_size = [1, CONV_LEN] and stride = [1,1].
from deepsense.
Thanks . Can we represent FFT results as Phase and angle unlike complex numbers ?
from deepsense.
Yes, it should be okay.
from deepsense.
Another thing. Here we use same convolutional Neural Nets in each time steps. How we train the parameters of convolutional neural nets ? Is that each time step we take the derivatives and joinly update them ?
from deepsense.
Yes, it just does the similar thing as rnn, calculating the gradient with backpropagation through time.
from deepsense.
perfect. :)
from deepsense.
Related Issues (20)
- Batch Normalization when training with Multi GPU settings HOT 2
- Did you update the moving averages when taking the batch norm ? HOT 2
- Parameters about the ""
- Parameters about the "layers.batch_norm" function you used in : Does they have an impact on the overall result ? HOT 1
- how to work with the dynamic length of sensor readings ? HOT 3
- Would you release the codes for CarTrack task? HOT 1
- Deploying on Android HOT 8
- more details on preprocessing HOT 1
- Error executing tf.train.shuffle_batch HOT 2
- No OpKernel 'All'
- Why is CONV_MERGE_LEN = 8?
- input data HOT 8
- questions about the neural network architecture
- Can anyone share me the code for GAIT ANALYSIS.?
- problem with plot.py
- Data pre processing about car track problem
- HHAR Preprocess: Doubts on the length of time interval on preprocessing code
- Deploying on Android
- The SADeepSense Code
- OutOfRangeError
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from deepsense.