After reading blog "An Object Oriented Approach To Train an Image Classifier with Tensorflow" I've tried to set custom signatures for my Keras model (TF2) like this:
class ImageClassifierModel(tf.keras.Model):
def __init__(self,...)
def…
My keras version is 2.2.4 and tf is 1.15.3.
Code to create the model:
import numpy as np
import pandas as pd
%matplotlib inline
import matplotlib as mpl
import matplotlib.pyplot as plt
import tensorflow as tf
from tensorflow import…
When I copy-and-paste TF's PReLU layer to my own script, it appears to build differently than the packaged version. Below I show a toy model with the PReLU code from my installation (2.9.2 on mac m1) fail to report any trainable parameters. In the…
fixing an error ValueError: x and y can be no greater than 2-D, but have shapes (23,) and (23, 12, 1) and to make my original graph with prediction graph line
Since tflearn is outdated and I am watching a chatbot tutorial that uses tflearn, I want to write the neural network model in keras. However, I got this error right here:
WARNING:tensorflow:Model was constructed with shape (None, 58) for input…
I am trying to replicate the model in [Sports 1M C3D Network] (https://gist.github.com/albertomontesg/d8b21a179c1e6cca0480ebdf292c34d2) to Keras v2. I am not able to replicate the input and output shapes. I read through the documentation and still…
I am trying to run the following code on an environment which has Tensorflow 2 installed:
from keras.layers.merge import _Merge
class RandomWeightedAverage(_Merge):
"""Provides a (random) weighted average between real and generated image…
I am training on a timeseries dataset using conv1D but during training I am getting non printable characters along with training status like
2044/42401 [>.............................] - ETA: 1:12 - loss: 0.5781 - accuracy: 0.7441
So I loaded the…
I noticed that assigning the keras.initializer inside a layer results in an error claiming that the variable initializers must either be wrapped in an init_scope or callable. However, I fail to see how my below use-case is different than the example…
I have a python script which I wrote using tensorflow python 3.6 AWS sagemaker jupyter notebook inside AWS sagemaker instance. I have to use sagemaker debugger for my Deep Learning model. I can see many links suggesting that first dockerise the…
I'm creating a pull request to https://github.com/WaqasSultani/AnomalyDetectionCVPR2018, updating https://github.com/WaqasSultani/AnomalyDetectionCVPR2018/blob/master/Test_Anomaly_Detector_public.py to python3 and the latest keras (now part of…
C:\Users\Raj Kubal>python
Python 3.7.6 (default, Jan 8 2020, 20:23:39) [MSC v.1916 64 bit (AMD64)] :: Anaconda, Inc. on win32
Warning:
This Python interpreter is in a conda environment, but the environment has
not been activated. Libraries may…
I have created a function to train and evaluate a model in keras2 , tensorflow2.
Here is my code:
def f_compile_fit_evaluate_model1(filters1, kernel_size1, filters2 , kernel_size2, epochs):
setting1 = Input(shape = (10,8), name = 'setting1')
…
I am trying to access the output of an intermediate layer of a pretrained keras model but I am getting an exception. My code is the following:
from keras.applications import vgg16
model = vgg16.VGG16(weights='imagenet',…
I've been trying to understand Keras' Optimizer class, and realize that there's a variable I don't quite understand - self.iterations. Does this refer to:
The number of individual samples for which updates have been performed?
The number of…