Introduction to Deep Learning & Neural Networks with Keras

Follow the Introduction to Deep Learning & Neural Networks with Keras classes admission process as mentioned below:

Step 1: Visit the official site of Coursera.

https://www.coursera.org/learn/introduction-to-deep-learning-with-keras

Step 2:  Choose the course Introduction to Deep Learning & Neural Networks with Keras classes.

Step 3:  Click on the hyperlink ‘Enroll for free’ to enjoy a 7-days free trial. 

Step 4: A pop-up having the details about information and policy will open. Click on ‘Start free trial’.

Step 5: Enter details including card number, name, expiry date, CVV, and more

Step 6: Enter the required details and get started for a free trial of 7 days.

There is a provision of financial aid to get access to the skills the participant wants to learn. Following are the steps to apply for financial aid:

• Visit the official site of Coursera https://www.coursera.org/learn/introduction-to-deep-learning-with-keras
• Click on the hyperlink that states ‘Financial help available’. 
• You will be guided to a pop-up window where you will be given an option to continue the application or Enroll and start learning today.
• Click on continue the application if you intend to take any financial help.
• Terms and conditions will be stated which you need to accept.
• By accepting, you will be guided to the application form wherein you will be asked your background information and a few descriptive questions.
• After answering, click on Submit application.
• The application will be reviewed in 15 days, and then the candidate will be reverted.

Deep learning, as compared to machine learning, is much faster to develop and deploy in the application. Currently, Deep learning is extensively used in medical technology, automation and virtual reality. The applications of computer vision like detecting cancer and tumour face and voice recognition and self-driven vehicles make use of Deep Learning. The state-of-the-art results can be achieved by deep learning methods to troubleshoot the challenges like object detection, image classification, and face recognition. There is also another Introduction to Deep Learning & Neural Networks with Keras certification benefits that are mentioned down.

By enrolling on the course, the participant will understand the Deep learning model thoroughly. They will be able to correlate the resemblance of a Deep Learning algorithm and human brain functions to process the neuron data. They will have an understanding of the gradient descent algorithm and backpropagation along with the activation related functions. They will also be acknowledged about different deep learning libraries and building classification and regression models. They will also receive a fair idea about autoencoders and neural networks.