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Published TensorFlow Keras Sequence Data Generator for Multimodal Classification
I recently tackled a challenging research task involving multimodal data for a classification problem using [TensorFlow Keras](https://www.tensorflow.org/guide/keras). One of the trickiest aspects was figuring out how to load multimodal data … -
Began Watching TensorFlow Keras Sequence Data Generator for Multimodal Classification
I recently tackled a challenging research task involving multimodal data for a classification problem using [TensorFlow Keras](https://www.tensorflow.org/guide/keras). One of the trickiest aspects was figuring out how to load multimodal data … -
Published Multivariate Stock Price Prediction with Transformer Encoder in TensorFlow
In a [previous tutorial](https://www.daniweb.com/programming/computer-science/tutorials/541123/stock-price-prediction-using-1d-cnn-in-tensorflow-keras), I covered how to predict future stock prices using a deep learning model with 1D CNN layers. This method is effective for basic time series forecasting. … -
Began Watching Multivariate Stock Price Prediction with Transformer Encoder in TensorFlow
In a [previous tutorial](https://www.daniweb.com/programming/computer-science/tutorials/541123/stock-price-prediction-using-1d-cnn-in-tensorflow-keras), I covered how to predict future stock prices using a deep learning model with 1D CNN layers. This method is effective for basic time series forecasting. … -
Published Track Faces from Videos with Margins Using Deep Learning in Python
In this article, you will learn how to track faces within a video using the Python DeepFace library. Additionally, you'll discover how to include portions of the video background in … -
Began Watching Track Faces from Videos with Margins Using Deep Learning in Python
In this article, you will learn how to track faces within a video using the Python DeepFace library. Additionally, you'll discover how to include portions of the video background in … -
Replied To a Post in Reducing Video Frames and Frame Rates (FPS) in Python
Yes, that's an option, but while you are developing Python applications where you have to process multiple videos, I don't think ffmpeg is scalable enough. Thanks for your feedback r … -
Published Reducing Video Frames and Frame Rates (FPS) in Python
A video is a series of images, or frames, shown in rapid succession. Its frame rate, measured in frames per second (FPS), dictates the display speed. For instance, a 30 … -
Began Watching Reducing Video Frames and Frame Rates (FPS) in Python
A video is a series of images, or frames, shown in rapid succession. Its frame rate, measured in frames per second (FPS), dictates the display speed. For instance, a 30 … -
Edited Custom Loss Functions in PyTorch: A Comprehensive Guide
## Introduction ## Loss functions are the driving force behind all machine learning algorithms. They quantify how well our models are performing by calculating the difference between the predicted and … -
Published Custom Loss Functions in PyTorch: A Comprehensive Guide
## Introduction ## Loss functions are the driving force behind all machine learning algorithms. They quantify how well our models are performing by calculating the difference between the predicted and … -
Began Watching Custom Loss Functions in PyTorch: A Comprehensive Guide
## Introduction ## Loss functions are the driving force behind all machine learning algorithms. They quantify how well our models are performing by calculating the difference between the predicted and … -
Published Extracting Information from Research Papers Using Langchain & OpenAI
As a researcher, I have often found myself buried under a mountain of research articles, each promising insights and breakthroughs crucial for my work. The sheer volume of information is … -
Began Watching Extracting Information from Research Papers Using Langchain & OpenAI
As a researcher, I have often found myself buried under a mountain of research articles, each promising insights and breakthroughs crucial for my work. The sheer volume of information is … -
Published Stock Price Prediction Using 1D CNN in TensorFlow Keras
Stock price prediction is a challenging task that requires analyzing historical trends, market sentiments, economic indicators, and company performance. One of the popular methods for stock price prediction is using … -
Began Watching Stock Price Prediction Using 1D CNN in TensorFlow Keras
Stock price prediction is a challenging task that requires analyzing historical trends, market sentiments, economic indicators, and company performance. One of the popular methods for stock price prediction is using … -
Published Chatbot Development Using Transformers in TensorFlow Keras
Chatbots are software applications that can interact with humans using natural language. They can be used for various purposes, such as customer service, entertainment, education, and more. Chatbots can be … -
Began Watching Chatbot Development Using Transformers in TensorFlow Keras
Chatbots are software applications that can interact with humans using natural language. They can be used for various purposes, such as customer service, entertainment, education, and more. Chatbots can be … -
Published Facial Emotion Detection with Vision Transformers and DeepFace Library
Facial emotion detection, as the name suggests, involves detecting emotions from faces in images or videos. Recently, I was working on a facial emotion detection task and came across the … -
Began Watching Facial Emotion Detection with Vision Transformers and DeepFace Library
Facial emotion detection, as the name suggests, involves detecting emotions from faces in images or videos. Recently, I was working on a facial emotion detection task and came across the … -
Gave Reputation to AndreRet in Language Modeling with LSTM using Wikipedia Text - Predicting Next Word
One of the best articles I have seen in a while, well written, properly explained and to the point, well done! -
Published Language Modeling with LSTM using Wikipedia Text - Predicting Next Word
Language modeling is the cornerstone of advanced natural language processing, forming the backbone for cutting-edge technologies like ChatGPT. At its core, it involves predicting words based on context, a fundamental … -
Began Watching Language Modeling with LSTM using Wikipedia Text - Predicting Next Word
Language modeling is the cornerstone of advanced natural language processing, forming the backbone for cutting-edge technologies like ChatGPT. At its core, it involves predicting words based on context, a fundamental … -
Published Video Classification using Hugging Face Transformers in PyTorch
In this tutorial, you will learn to fine-tune a [Hugging Face Transformers model](https://huggingface.co/docs/transformers/index) for video classification in PyTorch. The Hugging Face documentation provides an example of performing video classification using … -
Began Watching Video Classification using Hugging Face Transformers in PyTorch
In this tutorial, you will learn to fine-tune a [Hugging Face Transformers model](https://huggingface.co/docs/transformers/index) for video classification in PyTorch. The Hugging Face documentation provides an example of performing video classification using … -
Edited Extracting Faces from Videos Using Python Deepface Library
Understanding facial expressions is crucial for various tasks, from recognizing emotions to enhancing security measures. While extracting faces from pictures is easy, doing the same in videos is tricky. Imagine … -
Edited Extracting Faces from Videos Using Python Deepface Library
Understanding facial expressions is crucial for various tasks, from recognizing emotions to enhancing security measures. While extracting faces from pictures is easy, doing the same in videos is tricky. Imagine … -
Published Extracting Faces from Videos Using Python Deepface Library
Understanding facial expressions is crucial for various tasks, from recognizing emotions to enhancing security measures. While extracting faces from pictures is easy, doing the same in videos is tricky. Imagine … -
Began Watching Extracting Faces from Videos Using Python Deepface Library
Understanding facial expressions is crucial for various tasks, from recognizing emotions to enhancing security measures. While extracting faces from pictures is easy, doing the same in videos is tricky. Imagine … -
Edited Fine-Tuning OpenAI Whisper Model for Audio Classification in PyTorch
## Introduction ## In a previous article, I explained [how to fine-tune the vision transformer model for image classification in PyTorch](https://www.daniweb.com/programming/computer-science/tutorials/540749/fine-tuning-vision-transformer-for-image-classification-in-pytorch). In this article, I will explain how to fine-tune … -
Edited Fine-Tuning OpenAI Whisper Model for Audio Classification in PyTorch
## Introduction ## In a previous article, I explained [how to fine-tune the vision transformer model for image classification in PyTorch](https://www.daniweb.com/programming/computer-science/tutorials/540749/fine-tuning-vision-transformer-for-image-classification-in-pytorch). In this article, I will explain how to fine-tune … -
Published Fine-Tuning OpenAI Whisper Model for Audio Classification in PyTorch
## Introduction ## In a previous article, I explained [how to fine-tune the vision transformer model for image classification in PyTorch](https://www.daniweb.com/programming/computer-science/tutorials/540749/fine-tuning-vision-transformer-for-image-classification-in-pytorch). In this article, I will explain how to fine-tune … -
Began Watching Fine-Tuning OpenAI Whisper Model for Audio Classification in PyTorch
## Introduction ## In a previous article, I explained [how to fine-tune the vision transformer model for image classification in PyTorch](https://www.daniweb.com/programming/computer-science/tutorials/540749/fine-tuning-vision-transformer-for-image-classification-in-pytorch). In this article, I will explain how to fine-tune … -
Published Fine Tuning Vision Transformer for Image Classification in PyTorch
## Introduction ## In the realm of computer vision, [Vision Transformers (ViTs)](https://arxiv.org/abs/2010.11929) revolutionized image processing by employing self-attention mechanisms, allowing for a non-sequential analysis of images. ViTs are instrumental in … -
Began Watching Fine Tuning Vision Transformer for Image Classification in PyTorch
## Introduction ## In the realm of computer vision, [Vision Transformers (ViTs)](https://arxiv.org/abs/2010.11929) revolutionized image processing by employing self-attention mechanisms, allowing for a non-sequential analysis of images. ViTs are instrumental in … -
Published Fine Tuning Text Classification Models with Chat-GPT
In a previous article, I showed you [how to analyze sentiments using Chat-GPT and data augmentation techniques](https://www.daniweb.com/programming/computer-science/tutorials/540502/sentiment-analysis-with-data-augmentation-using-chatgpt#post2293643). Following that, some readers reached out, asking for a breakdown of fine-tuning a … -
Began Watching Fine Tuning Text Classification Models with Chat-GPT
In a previous article, I showed you [how to analyze sentiments using Chat-GPT and data augmentation techniques](https://www.daniweb.com/programming/computer-science/tutorials/540502/sentiment-analysis-with-data-augmentation-using-chatgpt#post2293643). Following that, some readers reached out, asking for a breakdown of fine-tuning a … -
Gave Reputation to Reverend Jim in Extract Text from Videos Using OpenAI Whisper
Ah. Turns out I had a test file in the same folder named asyncio.py and the openai package imports asyncio, causing it to import my local file. However, trying to … -
Published Extract Text from Videos Using OpenAI Whisper
In one of my research projects, I needed to extract text from video files and create a CSV file that included sentiments expressed in the text. Manual extraction was time-consuming … -
Began Watching Extract Text from Videos Using OpenAI Whisper
In one of my research projects, I needed to extract text from video files and create a CSV file that included sentiments expressed in the text. Manual extraction was time-consuming … -
Gave Reputation to Iuliia in Multilabel Text Classification using Hugging Face Models for TensorFlow
Hello! Thanks for example! Please, tell, why do you use BinaryCrossentropy while there is 6-classes classification? Doesn't one should you CategoricalCrossentropy? -
Gave Reputation to AndreRet in Sentiment Analysis with Data Augmentation Using ChatGPT
Great effort and informative tutorial covering the basics. Maybe add some more information on the training module. You have my upvote! -
Gave Reputation to Juliana_3 in Sentiment Analysis with Data Augmentation Using ChatGPT
could this have been done outside of python? [:O]
The End.