Cannot generate random ints inside TensorFlow2.0 "call" function Question: I am trying to implement a custom dropout layer. In this dropout layer I want to generate a random number and turn on/off that output. The idea is simple and I thought the implementation would be too. I have tried using the regular ‘random’ python function, …
Keras Reshape Layer Error: Total Size of New Array Must Be Unchanged Question: This is my model import torch import os import cv2 import numpy as np import tensorflow as tf from tensorflow.keras.preprocessing.image import ImageDataGenerator import mediapipe as mp from sklearn.metrics import multilabel_confusion_matrix, accuracy_score # Define the path to your training and testing data directories …
ImportError: Using the Trainer with PyTorch requires accelerate = 0.20.1 Question: Please help me when I tried to use it in my Google Colab for transformers error: ImportError: Using the Trainer with PyTorch requires accelerate=0.20.1: Please run pip install transformers[torch] or pip install accelerate -U` NOTE: If your import is failing due to a missing …
How do I print my MediaPipe model's output on Tkinter GUI? The gestureRecognizerResult prints in terminal and only shows as a NoneType variable Question: making a sign language interpreter’s GUI with a mediapipe model with a ASL dataset from Kaggle. This is my first time working in Tkinter and I’m trying to print the result …
YOLOv5: does best.pt control for overfitting? Question: After each YOLOv5 training, two model files are saved: last.pt and best.pt. I’m aware that: last.pt is the latest saved checkpoint of the model. This will be updated after each epoch. best.pt is the checkpoint that has the best validation loss so far. It is updated whenever the …
TypeError: Unhashable type: 'numpy.ndarray' in keras Question: I have a code below while True: question = input("你： ") question_seq = tokenizer.texts_to_sequences([question]) question_seq_padded = keras.preprocessing.sequence.pad_sequences(question_seq, maxlen=max_len) answer_seq = model.predict(question_seq_padded).argmax(axis=-1)[0] answer = tokenizer.index_word[answer_seq] print("機器人：", answer) And when i ran it, happened some wrong answer = tokenizer.index_word[answer_seq] issued error TypeError: Unhashable type: ‘numpy.ndarray’ I try to find the …
how regroup multiple fit calls on a single epoche with keras Question: I am training a model with kearas on Go of datas, at a point where my computer can’t handle the RAM needed. So I am trying to implement my training as 1 epoche is done with multiple model.fit calls, with somthing like : …
Problem tokenizing with HuggingFace's library when fine tuning bloom Question: I have a problem with my tokenizer function. To be honest I am quiet lost, since I do not really understand whats happening inside the transformer library. Here is what I wanted to do: I would like to fine tune the BLOOM model to a …
Reading Sudokus from text file and applying backtracking Question: I have just begun with python, so excuse me if these are noob questions or if the questions are already answered. I am trying to read multiple sudoku puzzles and apply the algorithm I found online. The code utilizes a grid(list[list[int]]) setup. I have tried looking …
why it says I don't have admin privilage to install chatterbot? Question: I tried to install chatterbot on my up to date python, pip didn’t work, everything including running as administrator and every other thing that I don’t remember. so I went to here: C:UsersaliAppDataLocalPackagesPythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0 with CMD, and did a git clone thing and a …
