Deep learning is one of those technologies that are changing the world today – it is an essential part of Artificial Intelligence. In order to develop an understanding of Artificial Neural Networks, Multisoft Virtual Academy helps the candidates in gaining complete knowledge of Deep Learning essentials. We offer Deep Learning Online Training without charging a higher amount. Our training company is blessed with industry expert trainers who are promised to deliver the best quality training. Through expert coaching and hands-on coding exercises, our Deep Learning A-Z Hands-On Artificial Neural Networks training helps the aspirants in learning the concepts of DL algorithms and enhancing their insight on major real time dataset issues, such as solving the Customer Churn problem, predicting Stock Prices, Fraud investigation, Image Recognition, and creating Recommender Systems.
Which are the key roles of deep learning online training?
Who can earn this training?
Deep Learning A-Z Hands-On Artificial Neural Networks online training is ideal for data analysts, the individuals who wish to become data scientists, and the individuals who wish to add value to their business by using Deep Learning tools. Also, the individuals who are attuned with coding and keen in mastering Machine Learning or Deep Learning are eligible to earn this course.
This training program provides you with deep understanding of the techniques of developing a neural network and how to perform the tasks on machine learning projects. It will help you in building and implementing fully connected deep neural networks, knowing how to implement Deep Learning to your own project, understanding the key parameters and language of the neural network architecture, knowing the important trends of technology driving Deep learning, learning the techniques of implementing the algorithms of this technology, and knowing the actual difference between Machine Learning, Deep learning, and Artificial Learning.
|Start Date||End Date||No. of Hrs||Time (IST)||Day|
|04 Feb 2023||26 Feb 2023||24||06:00 PM - 09:00 PM||Sat, Sun|
|18 Feb 2023||12 Mar 2023||24||06:00 PM - 09:00 PM||Sat, Sun|
|04 Mar 2023||26 Mar 2023||24||06:00 PM - 09:00 PM||Sat, Sun|
|11 Mar 2023||02 Apr 2023||24||06:00 PM - 09:00 PM||Sat, Sun|