NeuralNetworks | simple library for implementing Neural

by GiorgosXou C++ Version: v1.7.9-beta License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(6)Vulnerabilities Install Support

kandi X-RAY | NeuralNetworks Summary

NeuralNetworks is a C++ library typically used in Internet of Things (IoT), Arduino applications. NeuralNetworks has no bugs, it has no vulnerabilities and it has low support. However NeuralNetworks has a Non-SPDX License. You can download it from GitHub.

Nothing "Import ant", just a simple library for implementing Neural-Networks(NNs) easily and effectively on any Arduino board and other microcontrollers.

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NeuralNetworks has a low active ecosystem.

It has 20 star(s) with 8 fork(s). There are 6 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 3 have been closed. On average issues are closed in 18 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of NeuralNetworks is v1.7.9-beta

Quality

NeuralNetworks has 0 bugs and 0 code smells.

Security

NeuralNetworks has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

NeuralNetworks code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

NeuralNetworks has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

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NeuralNetworks releases are available to install and integrate.

Installation instructions are not available. Examples and code snippets are available.

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NeuralNetworks Key Features

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NeuralNetworks Examples and Code Snippets

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Community Discussions

Trending Discussions on NeuralNetworks

AttributeError: module 'keras.api._v2.keras.utils' has no attribute 'Sequential' i have just started Neural network so help would be appriciated

Feed Forward Neural Network Always outputs Random but Similar Values

Generate type class constraints recursively and use them in a recursive function

R convert list to string

Does TensorFlow Lite Have a Low Power Consumption Mode?

Error when importing variable from different script from different directory

QUESTION

AttributeError: module 'keras.api._v2.keras.utils' has no attribute 'Sequential' i have just started Neural network so help would be appriciated

Asked 2022-Mar-19 at 06:26

import cv2
import numpy as np
import matplotlib.pyplot as plt
import tensorflow as tf
from keras import Sequential
from tensorflow import keras
import os

mnist = tf.keras.datasets.mnist
(x_train, y_train), (x_test, y_test) = mnist.load_data()
x_train = tf.keras.utils.normalize(x_train, axis=1)
x_test = tf.keras.utils.normalize(x_test, axis=1)


model = tf.keras.utils.Sequential()
model.add(tf.keras.layers.Flatten(input_shape=(28, 28)))
model.add(tf.keras.layers.Dense(128, activation='relu'))
model.add(tf.keras.layers.Dense(128, activation='relu'))
model.add(tf.keras.layers.Dense(10, activation='softmax'))

model.compile(optimizer='adam', loss='spare_categorical_crossentropy', metrics=['accuracy'])
model.fit(x_train, y_train, epochs=3)
model.save('handwritten.model')

...

ANSWER

Answered 2022-Mar-18 at 16:47

You should be using tf.keras.Sequential() or tf.keras.models.Sequential(). Also, you need to define a valid loss function. Here is a working example:

Source https://stackoverflow.com/questions/71530455

QUESTION

Feed Forward Neural Network Always outputs Random but Similar Values

Asked 2021-Apr-17 at 18:12

I recently coded a neural network based on this online book and Sebastian Lague's brief series on neural networks on youtube. I coded it as faithfully to the original as possible but it didn't end up working. I am trying to solve a simple XOR problem with it but it always seems to give me random but similar values. I even tried copying and pasting the author's code, without changing anything, but it still didn't work.

...

ANSWER

Answered 2021-Apr-17 at 18:12

I seem to have fixed it. I made three main changes:

I switched the a and o in the output layer error calculation which then looked like this: error = (o - a) * self.activationPrime( self.zCollection[-1] ).
When updating the weights and biases I replaced

Source https://stackoverflow.com/questions/67133094

QUESTION

Generate type class constraints recursively and use them in a recursive function

Asked 2020-Dec-08 at 08:19

I am trying to define a function which gets some natural number n as input. Depending on this input the function should have different constraints. This constraints get calculate with a type family. The number has to be converted to GHC.TypeNats because the constraints are for Data.Vector.Sized. I asked a similar question here, but the answer won't work in the case of GHC.TypeNats and arbitrary n.

I tried the UNat type from Clash.

This is the relevant code from clash:

...

ANSWER

Answered 2020-Dec-08 at 08:19

I solved this by adding the constraints to the construtors of the GADT Peano nat.

Source https://stackoverflow.com/questions/65146582

QUESTION

R convert list to string

Asked 2020-Jul-23 at 15:59

I have a list where I need each individual elements as a character.

...

ANSWER

Answered 2020-Jul-23 at 15:59

You could use sapply:

Source https://stackoverflow.com/questions/63058215

QUESTION

Does TensorFlow Lite Have a Low Power Consumption Mode?

Asked 2020-Jul-01 at 23:25

I saw that TF Lite has a delegate that uses NNAPI for hardware acceleration. I was reading up on NNAPI and I saw that it has a compilation setting called ANEURALNETWORKS_PREFER_LOW_POWER, which compiles a given NNAPI model to prioritize low power consumption. Does TF Lite have a setting that utilizes this, or any, power-saving mode? I'm developing for mobile using TF Lite for Android on Android Studio.

...

ANSWER

Answered 2020-Jul-01 at 23:25

You can use the low-power option on the NNAPI delegate by setting this option while creating the delegate as mentioned in the documentation.

Source https://stackoverflow.com/questions/62669537

QUESTION

Error when importing variable from different script from different directory

Asked 2020-Jun-05 at 09:51

I was working on a project where I was training a neural network and displaying information using a GUI in Python. However, I have a constant problem with importing modules. This is the error I get when trying to run Visualizer.Main

...

ANSWER

Answered 2020-Jun-05 at 09:51

You seem to have a cyclic dependency between Visualizer.Utils and NeuralNetworks.Pose`:

from Visualizer.Utils import loadImage

File "/home/user/SplineTrajectoryGenerator/Visualizer/Utils.py", line 3, in

from NeuralNetworks.Pose import Pose2D

File "/home/user/SplineTrajectoryGenerator/NeuralNetworks/Pose.py", line 4, in

from Visualizer.Utils import constraint

Python does not support cyclic dependencies - and that's actually a GoodThing(tm) since those are design issues (two modules should not depend on each other). The canonical solution is to create a new module for objects (classes, functions, whatever) that are necessary to both modules (ie in your case create a distinct module for 'constraint').

Source https://stackoverflow.com/questions/62211614

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You can download it from GitHub.

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