I tried a sample code for CNN application on MNIST data classification from the book : from keras import layers from keras import models model = models.Sequent
I'm trying to make a classification on an image with the CNN algorithm. When I tried to run it on jupyter notebook(anaconda) it didn't work, but when I run it o
I'm a beginner with ML and have been following the Coursera intro syllabus. I am trying to implement the exercises using TensorFlow rather than Octave. I have t
I am following the Google Machine Learning Intensive Course. But it uses version 1.x of TensorFlow, so I was planning to change the exercises to be able to run
I am following the Google Machine Learning Intensive Course. But it uses version 1.x of TensorFlow, so I was planning to change the exercises to be able to run
I am building a simple CNN for binary image classification, and the AUC obtained from model.evaluate() is much higher than AUC obtained from model.predict() + r
im trying to deploy a keras project to heroku but pushing to the repository master branch seems to be problematic for me as the following error is reported ever
I am building a MLP using TensorFlow 2.0. I am plotting the learning curve and also using keras.evaluate on both training and test data to see how well it perfo
I trained my tensorflow model on images after convert it to BatchDataset IMG_size = 224 INPUT_SHAPE = [None, IMG_size, IMG_size, 3] # 4D input model.fit(
I have a simple code, which DOES work, for training a Keras model in Tensorflow using numpy arrays as features and labels. If I then wrap these numpy arrays usi
How to run keras.model.fit() in graph not with eager execution...?? I tried to run my model in graph by using tf.compat.v1.disable_eager_execution(), but the c
So about a week ago I posted this question: Issues running a Keras model with custom layers. The suggestion there was to try to make this question smaller and t
I am trying to train Unet model with the following parameters: droput_: 0.2, activation_: sigmoid, activation_inner_: relu, learning_rate_: 0.0001, epsilon_: 1
I have a Segmentation network model trained for 2 classes and am able to see accurate results. But when using grad-cam for the heatmap, I am able to see good re
I am very new to the deep learning and computer vision. I want to do some face recognition project. For that I downloaded some images from Internet and converte
I recently convert my model to tensorflow lite but I only got the .tflite file and not a labels.txt for my Android project. So is it possible to create my own l
""" Defining two sets of inputs Input_A: input from the features Input_B: input from images my train_features has (792,192) shape my train_images has (792,28,28
Say I have a Custom Layer : class Custom_Layer(keras.layers.Layer): def __init__(self, **kwargs): self.w_0 = tf.Variable(tf.random_uniform_initializ
how can you save a keras model in 64bit format? This is able to 'put tensorflow' in 64bit 'mode' for the current runtime. But I've found that even just saving t
It is a really strange bug. Environment: tf 1.12 + cuda9.0 + cudnn 7.5 + single RTX 2080 Today I tried to train YOLO V3 network on my new device. Batch size i