Why deep learning is becoming so popular? | Deep Learning Tutorial 2 (Tensorflow2.0, Keras & Python)
Introduction to Deep Learning
In this section, the speaker discusses the reasons why deep learning has become popular in recent years.
Reasons for the Popularity of Deep Learning
- The growth in the volume of data has contributed to the popularity of deep learning. Businesses now have access to large amounts of transactional and social media data, allowing for more advanced analysis and applications such as sentiment analysis on platforms like Twitter.
- Advancements in hardware, particularly GPUs (Graphics Processing Units) and TPUs (Tensor Processing Units), have made it easier and faster to run deep learning jobs. These specialized hardware options are more accessible to normal users, both locally on their computers or through cloud services.
- The Python programming language and open-source ecosystem have played a significant role in the popularity of deep learning. Python is easy to learn, making it accessible even to individuals without extensive programming backgrounds. Additionally, frameworks like PyTorch and TensorFlow provide free tools for implementing neural networks.
- The availability of cloud computing resources has lowered the entry barrier for deep learning. Users can rent servers on the cloud instead of investing in expensive hardware, reducing costs and making it more accessible for experimentation.
- The increasing demand for artificial intelligence (AI) and machine learning across industries has fueled the popularity of deep learning. Many companies are shifting towards an AI-first approach, recognizing its potential value and wanting to invest in these technologies.
Note that these are just a few reasons discussed in this video regarding why deep learning has gained traction recently.