aitextgen is a great Python pacakge, it allows user just need to write a few codes to configure the complex AI model. Its architecture is used OpenAI's GPT-2 and EleutherAI's GPT Neo/GPT-3, and it can receive pre-trained model to fine-tune.
Read More »[NLP] Use aitextgen Python Package To Generate Text
Mean Absolute Error (MAE) is a standard and famous evaluation metric, it usually appears in the first class or the Nth class of the machine learning course... it depends on how your teacher arranges the textbook. But to me, it's like Mario's first mushroom monster after starting level 1-1.
Read More »[Machine Learning] Introduction To MAE Metric (With Example)
Symmetric Mean Absolute Percentage Error (SMAPE) is a classic evaluation metric for "predicted value and actual value".
Read More »[Machine Learning] Introduction To SMAPE Metric (With Example) CodeBERT is a pre-trained model based on transformer architecture, it is proposed from CodeBERT: A Pre-Trained Model for Programming and Natural Languages.
Read More »[Machine Learning] CodeBERT Introduction (With Example)
At the end of 2018, the transformer model BERT occupied the rankings of major NLP competitions, and performed quite well. I have been interested in transform models such as BERT, so today I started to record how to use the transformers package developed by HuggingFace.
Read More »[PyTorch] How to Use HuggingFace Transformers Package (With BERT Example)
Today when I running a Keras program with Tensorflow backend, the following error message unexpectedly occurred:
Read More »[Solved] Exception ignored in: bound method BaseSession.__del__ of tensorflow.python.client.session.Session object at 0x7ff1243e0358 In the past I have no any experience of Weka, but in the meeting of fate, I came into contact with Weka that a tool suitable for data mining and machine learning, so I simply recorded how to install it here.
Read More »[ML] How To Install Weka: A ML Tool For Data Mining
Building a deep learning environment is not an easy task, especially the combination of Nvidia GPU and Tensorflow. The version problems and the driver, CUDA and cuDNN that need to be installed are enough to cause headaches. Moreover, the mainstream operating system is Linux instead of Windows, and it can be found that there are obvious tutorial article.
Read More »[Deep Learning] Build The Tensorflow, CUDA And cuDNN Environment on Windows Early stopping is a technique applied to machine learning and deep learning, just as it means: early stopping. In the process of supervised learning, this is likely to be a way to find the time point for the model to converge.
Read More »[PyTorch] Use Early Stopping To Stop Model Training At A Better Convergence Time
