What you would learn in Artificial Neural Networks and Deep Learning in Practice course?
Artificial Neural networks and Deep Learning are the most advanced and recent topics in machine learning and have numerous applications across various areas. They are proving promising results across various fields that range from computer vision to the discovery of drugs and forecasting of the stock market. In addition, because of its capability and ability to solve various problems employing different data types, numerous researchers and those who aren't involved in computer sciences or other related disciplines are fascinated by learning and using Artificial Neural Networks and Deep learning structures in their work.
This course teaches you the basics that are essential to understanding artificial neural networks as well as deep learning, along with coding examples to make the concepts more clearly. This course is ideal for those novices to machine learning and deep learning and who want to know how to implement deep-learning algorithms with Python, TensorFlow, and Keras.
Course Content:
- The basics underlie Artificial Neural Networks (ANNs) and provide up-to-date DL examples.
- The foundation of Deep learning is one of the most well-known algorithms.
- It contains several examples of code.
- It includes a variety of quizzes to help you in improving your knowledge.
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