🚀 What's Next?
Explore the core concepts of artificial neural networks, recurrent neural networks, and convolutional neural networks. Understand their distinct structures and applications in time series, text, and image data. Learn how CNNs and RNNs address challenges in deep learning and gain insight into practical uses of these models.
This course covered the basics of Deep learning. But there is still more to learn. Deep learning has the capacity to help you achieve more than the courses taught to you. While vanishing gradient descent is a problem in all neural networks, we can tackle the two other challenges in ANN ...
