Hands-On Transfer Learning with Python

Applications

Deep learning is one class of algorithms that has been utilized to reap the benefits of transfer learning very successfully. The following are a few examples:

• Transfer learning with text data: Textual data presents all sorts of challenges when it comes to ML and deep learning. These are usually transformed or vectorized using different techniques. Embeddings, such as Word2vec and fastText, have been prepared using different training datasets. These are utilized in different tasks, such as sentiment analysis and document classification, by transferring the knowledge from the source tasks.
• Transfer learning with computer vision: Deep learning has been very successfully utilized for various computer vision tasks, such as object ...