Data Science: Deep Learning in Python (Udemy)
This course will teach you how to create your first artificial neural network using fundamental deep learning techniques. You will start with the fundamental building blocks to create full-fledged non-linear neural networks using Python and NumPy, and then on to the most important training method — backpropagation. The course is built by Lazy Programmer Inc.'s skilled teachers, who will present you with practical examples throughout the course to help you understand how deep learning can be utilized on anything. After completing the course, you may go on to some of the top deep learning courses and tutorials. Here is one of the best online courses to learn Deep Learning Python.
This course will teach you how to create your FIRST artificial neural network using deep learning techniques. Following on from the last course on logistic regression, use Python and Numpy to create full-fledged non-linear neural networks straight away. This course's contents are completely free. This course is for you if you want to start your road to becoming a deep learning expert, or if you are interested in machine learning and data science in general. Udemy goes beyond fundamental models like logistic regression and linear regression, and I show you something that learns features automatically.
Highlights:
- An advanced course focusing on 'how to create and comprehend' deep neural networks using Python and NumPy.
- Discover how deep learning works and how to create a neural network from scratch with Python, NumPy, and Google TensorFlow.
- Discover the many forms of neural networks and the various sorts of issues that these neural networks can handle.
- Understand neural network terminologies such as activation, backpropagation, and feedforward.
- Enrollment is completely free, and you may study from the convenience of your own home
Duration: 10-11 hours
Digitaldefynd Rating: 4.6 out of 5
Link to enroll: https://www.udemy.com/course/data-science-deep-learning-in-python/
