How is the data shuffled in the preprocessing step and why is it important?
In the field of deep learning with TensorFlow, the preprocessing step plays a important role in preparing the data for training a model. One important aspect of this step is the shuffling of the data. Shuffling refers to the randomization of the order of the training examples in the dataset. This process is typically performed
What is the purpose of the "sample_handling" function in the preprocessing step?
The "sample_handling" function plays a important role in the preprocessing step of deep learning with TensorFlow. Its purpose is to handle and manipulate the input data samples in a way that prepares them for further processing and analysis. By performing various operations on the samples, this function ensures that the data is in a suitable
- Published in Artificial Intelligence, EITC/AI/DLTF Deep Learning with TensorFlow, TensorFlow, Preprocessing conitnued, Examination review
Why do we filter out super common words from the lexicon?
Filtering out super common words from the lexicon is a important step in the preprocessing stage of deep learning with TensorFlow. This practice serves several purposes and brings significant benefits to the overall performance and efficiency of the model. In this response, we will consider the reasons behind this approach and explore its didactic value
How is the size of the lexicon limited in the preprocessing step?
The size of the lexicon in the preprocessing step of deep learning with TensorFlow is limited due to several factors. The lexicon, also known as the vocabulary, is a collection of all unique words or tokens present in a given dataset. The preprocessing step involves transforming raw text data into a format suitable for training
What is the purpose of creating a lexicon in the preprocessing step of deep learning with TensorFlow?
The purpose of creating a lexicon in the preprocessing step of deep learning with TensorFlow is to convert textual data into a numerical representation that can be understood and processed by machine learning algorithms. A lexicon, also known as a vocabulary or word dictionary, plays a important role in natural language processing tasks, such as
- Published in Artificial Intelligence, EITC/AI/DLTF Deep Learning with TensorFlow, TensorFlow, Preprocessing conitnued, Examination review