Visualisation tools are painting a clearer picture of the deep learning revolution. Deep learning, a subset of artificial intelligence, mimics the human brain’s processing patterns to interpret data, such as images or text. Neural networks, the heart of deep learning, are becoming increasingly complex, leading to a need for better visualisation tools. These tools help to interpret the inner workings of these networks and improve understanding of how they function.
TensorBoard, a tool developed by Google, is a prime example. It provides a visual overview of a neural network’s architecture, allowing users to navigate the layers of the network with ease. TensorBoard also tracks the training of these networks over time, providing insight into their learning process.
Another tool, DeepDream, also developed by Google, turns the process on its head. Instead of feeding data into the network and interpreting the output, DeepDream feeds the output back into the network. This creates a feedback loop, resulting in a psychedelic image that gives a glimpse into the network’s ‘imagination’.
These visualisation tools are not just for experts. They can help anyone understand the intricate workings of deep learning, making the subject more accessible and less intimidating. As the deep learning revolution continues to evolve, these tools will become even more crucial in demystifying this complex field.
Go to source article: https://medium.com/@richardcngo/visualizing-the-deep-learning-revolution-722098eb9c5