In this Deep Learning course with Keras and TensorFlow certification training, you will become familiar with the language and fundamental concepts of artificial neural networks, PyTorch, autoencoders, and more. Upon completion, you will be able to build deep learning models, interpret results, and build your own deep learning project.
The global deep learning system market size is expected to reach USD 93.34 Billion at a steady CAGR of 39.1% in 2028
Upon successful completion of the Deep Learning course with TensorFlow training, you will be awarded an industry-recognized Deep Learning Certification Course completion certificate from Simplilearn which has lifelong validity.
The TensorFlow Developer certificate exam costs $100, which includes one exam attempt.
Once you start the TensorFlow certification exam, you will have 5 hours to complete it and submit it. However, if you do not submit the answers within 5 hours the portal will automatically submit your answers once the time completes.
You will have three attempts to pass and get the tensorflow developer certificate.
To be able to appear TensorFlow certification exam, here are the minimum requirements that you need to have:
Deep Learning, also known as Deep Neural Learning, is a subset of machine learning, an application of AI, where machines imitate the workings of the human brain and employ artificial neural networks to process the information.
TensorFlow is an open source library created and released by google for numerical computation and building deep learning models.
Companies are gathering a massive amount of data every day and analyzing them to draw meaningful business insights. Most of that data is in an unstructured format, i.e. in the form of text, image, audio, and video rather than numerical. Deep learning is quite effective for analyzing such types of data and has become vitally important for business decision making. With our TensorFlow & Keras certification course, you can learn all the essential deep learning concepts from scratch.
In traditional machine learning, most of the applied features need to be identified by a domain expert in order to reduce the complexity of the data. Whereas the biggest advantage of the Deep Learning algorithm is it tries to learn high-level features from data in an incremental manner, which makes the process simpler and popular. Deep Learning techniques outperform other techniques when the data size is large and complex, and also, this technique is behind many high-end innovations.
This Deep Learning course with Keras and TensorFlow certification training will give you a complete overview of Deep Learning concepts, enough to prepare you to excel in your next role as a Deep Learning Engineer. It will help you become familiar with artificial neural networks, PyTorch, autoencoders, and more. At the end of our best deep learning course online, you will get an industry-recognized course completion certificate from Simplilearn, which will be a testament to your skills with deep learning specialization.
Deep learning skills are in high demand and offer professionals a clear edge over others when applying for top related job roles like Machine Learning Engineer, Data Scientist, or NLP Specialist. Requiring a high level of technical understanding, one may not find it easy to learn deep learning through self-study. Taking up this Deep Learning course is a better option where you get the right guidance from industry experts.