when i want to download the datasets by tfds.load(),just like that ratings = tfds.load('movielens/100k-ratings', split="train") the error is: Downloading and p
I am writing code inspired from https://www.tensorflow.org/addons/api_docs/python/tfa/seq2seq/BasicDecoder. In the translation/generation we instantiate a Basic
I have the Apple M1 Pro chip and cannot get my tensorflow project running. I followed the installation instructions from Apple's site. When I run pip install -r
I have time series training data of about 5000 numbers. For each 100 numbers, I am trying to predict the 101st. At the end of the series, I would put in the pre
It's a silly question but I've been struggling with it for way too long now.. I'm using the object detection API from tensorflow. when I run my script as below
I am currently trying to feed an image sequence as a single input entity to my CNN. I found the numpy utility numpy.lib.stride_tricks.sliding_window_view My ima
I have built a BiLSTM model with an attention layer for sentence classification task but I am getting an error that my assertion has failed due to mismatch in n
I used this https://github.com/theAIGuysCode/tensorflow-yolov4-tflite rep to create my own yolov4 detection. The detection with the yolov4.weights and coco.name
I am trying to build an autoencoder with the following code import matplotlib.pyplot as plt import numpy as np import pandas as pd import seaborn as sns import
I am working with keras for text classification. After pre-processing and vectorization my train and validation data details is like bellow: print(X_train.shape
If the question seems to dumb, it is because I am new to TensorFlow. I was implementing a toy endocer-decoder problem using TensorFlow 2’s TFA seq2seq imp
After a lot of research, it seems like there is no good way to properly stop and resume training using a Tensorflow 2 / Keras model. This is true whether you ar
I'm using google colab and tensorflow 2.3.0 on a Ubuntu machine, and working through the example from here: Tensorlow2 Training Custom Model This is my code: !p
i am using the Tensorflow Lite Model Maker library to train an efficient model for object detection. It works well, but I don’t know how to get graphs of
i am using the Tensorflow Lite Model Maker library to train an efficient model for object detection. It works well, but I don’t know how to get graphs of
I am trying to write a Custom Model in which I am writing a custom train_step function I am creating a 'tf.data.Dataset` from a Custom Datagenerator like tds =
I have an imbalanced data set of 2 classes (1 & 0). 1 is about 6 times less likelier than 0. Hence, I am using SMOTE to make the data set balanced through o
I'm trying to clarify two parameters: intra_op_parallelism_threads and inter_op_parallelism_threads . I assume intra_op_parallelism_threads means the number o
I'm trying to build a seq2seq model to predict sequence. The most basic model was built, but I'm having trouble with understanding what 'metric=['accuracy']' me
I am switching from running TPUs in colab to running TPUs in Google cloud. I am used to running training in the colab jupyter notebook, but from the GCP TPU qui