I am trying to build a ANN model using Tensorflow library on Spyder. Afte ı set my training and test data, ı imported the keras library as seen below
I am using Anaconda and Jupyter Notebook. I need a tensorflow_hub to import the ResNet model, however, I get the error No module named Keras. I've installed ker
I'm trying to make a denoise autoencoder wherein the encoder part is vgg16 and decoder is opposite of vgg16(encoder) network. My dataset consists of 5K images i
I have trained Mask-RCNN model, and want to try Tensorflow Serving to use it in web. So i just run tensorflow/serving docker container. And realised what i have
Importing Tensorflow gives this error This is my "code": import tensorflow as tf My versions: protoc --version libprotoc 3.15.8 pip show protobuf Name: prot
I was trying to install tensorflow in a new conda environment, but I met an incompatibility issue. First, I use conda search tensorflow-gpu -c conda-forge to se
I am trying to run a TensorFlow-lite model on my App on a smartphone. First, I trained the model with numerical data using LSTM and build the model layer using
I'm working on authorship detection from text task, I'm doing this by using a data frame consisting of symbol n-gram that I created using about 110k of 147 diff
Here I have a pytorch tensor object which I need to use for training a neural network. Can pytorch tensors be used for training a keras neural network and if so
Im trying to install tensorflow for react native but when when i try to install it throw all these errors in the picture link attached below. Does anyone know w
Dear mlflow community, I am struggeling with a performant environment for both testing and production. What I want to do is, train models locally and compare th
My input is a array of 64 integers. model = Sequential() model.add( Input(shape=(68,), name="input")) model.add(Conv1D(64, 2, activation="relu", padding="same",
I'm Trying to making DNN using Wide Deep Nural Network using keras the following code produces the following after trying to implement it, I also making my cust
I was trying to train an autoencoder on image patches. My training data consists of single-channel images loaded into a numpy array with shape [10000, 256, 512,
I got two microcontrollers, one ESP32 and one Arduino DUE R3, both has an architecture of 32 bits and should be able to run a tensorflow lite model, however I t
I created my tensorflow env using conda (MacBook Pro), and installed manually all the tensorflow required packages following the apple developer website: https:
I know that in ai models lstm is used to extract features from data and dropout is used to focus in the main ones, but i can't understand why people used to rep
I am working on a project on Reinforcement Learning - and completely new at this. I installed keras-rl as pip install keras-rl, however it caused an error as ma
i'm experimenting on colab in image-classification with images of 32x32 pixels; i have 248 pics for training and 62 for testing (much too less, i know, but for
I'm new to ML and im trying to make a simple MLP work using serialization. I'll be using 2 layer MLP and binary outcome. (yes/no) Could someone explain what i'm