TensorFlow Keras Sequence Data Generator for Multimodal Classification Programming Computer Science by usmanmalik57 … for a classification problem using [TensorFlow Keras](https://www.tensorflow.org/guide/keras). One of the trickiest aspects…data in batches from storage efficiently. While TensorFlow Keras offers helpful functions for batch-loading images … easily using the `DataSet` class. However, TensorFlow Keras's documentation on handling this problem is not… Chatbot Development Using Transformers in TensorFlow Keras Programming Computer Science by usmanmalik57 …to build a chatbot using transformers in the TensorFlow Keras library. Transformers are a type of neural…import numpy as np import tensorflow as tf import keras from keras import layers from keras.layers import TextVectorization ``` ##… way to create and manipulate datasets in TensorFlow. It allows us to perform various operations… Stock Price Prediction Using 1D CNN in TensorFlow Keras Programming Computer Science by usmanmalik57 …Yahoo Finance. Next, we will use the TensorFlow `Keras` library to build and train the 1D…tensorflow as tf from tensorflow.keras.models import Model from tensorflow.keras.layers import Input, Conv1D, MaxPooling1D, Flatten, Dense, Dropout from tensorflow.keras… data to the 1D CNN model in TensorFlow Keras, we need to perform some data preprocessing… Multivariate Stock Price Prediction with Transformer Encoder in TensorFlow Programming Computer Science by usmanmalik57 … price prediction model using a transformer encoder in [TensorFlow Keras](https://www.tensorflow.org/guide/keras). By the end of this article, you'll… ## You need to install the following library to access the TensorFlow Keras [TransformerEncoder](https://keras.io/api/keras_nlp/modeling_layers/transformer_encoder/) layer. ``` !pip install… Multilabel Text Classification using Hugging Face Models for TensorFlow Programming Computer Science by usmanmalik57 … six comment categories in the output. import tensorflow as tf from tensorflow import keras from tensorflow.keras import layers import numpy as np class TextClassificationModel… Re: Multilabel Text Classification using Hugging Face Models for TensorFlow Programming Computer Science by Aravind_11 Thank you very much for this informative example! I have a question regarding the line "bert = TFAutoModel.from_pretrained(model_name, from_pt = True)". Since we are using Tensorflow here, shouldn't we leave out "from_pt = True" ? Re: Multilabel Text Classification using Hugging Face Models for TensorFlow Programming Computer Science by Iuliia Hello! Thanks for example! Please, tell, why do you use BinaryCrossentropy while there is 6-classes classification? Doesn't one should you CategoricalCrossentropy? Language Modeling with LSTM using Wikipedia Text - Predicting Next Word Programming Computer Science by usmanmalik57 …using the `word_index` attribute of the `tokenizer` class. ``` from keras.preprocessing.text import Tokenizer # Create a tokenizer instance tokenizer = Tokenizer… it to the `num_classes` attribute of the `to_categorical()` method. ``` from keras.utils import to_categorical y = to_categorical(y, num_classes = vocab_size + 1) ```… Custom Loss Functions in PyTorch: A Comprehensive Guide Programming Computer Science by usmanmalik57 … accuracy. Various libraries, such as [PyTorch](https://pytorch.org/), TensorFlow, and Keras, provide a plethora of built-in loss functions like Mean… but perform poorly on unseen data. ## Conclusion ## While libraries like Keras and PyTorch provide a variety of built-in loss functions… Re: Language Modeling with LSTM using Wikipedia Text - Predicting Next Word Programming Computer Science by AndreRet One of the best articles I have seen in a while, well written, properly explained and to the point, well done! Re: Custom Loss Functions in PyTorch: A Comprehensive Guide Programming Computer Science by AndreRet As always, precise and in detail, great tutorial!