This Deep Learning course with Tensorflow certification training is developed by industry leaders and aligned with the latest best practices. You’ll master deep learning concepts and models using Keras and TensorFlow frameworks and implement deep learning algorithms, preparing you for a career as Deep Learning Engineer.
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.
Demand for skilled Deep Learning Engineers is booming across a wide range of industries, making this Deep Learning course with Keras and Tensorflow certification training well-suited for professionals at the intermediate to advanced level. We recommend this course particularly for Software Engineers, Data Scientists, Data Analysts, and Statisticians with an interest in deep learning.
Participants in this Deep Learning online course should have familiarity with programming fundamentals, a fair understanding of the basics of statistics and mathematics, and a good understanding of machine learning concepts.
The Deep Learning course (with Keras and Tensorflow) certification training offers you a competitive edge in solving applications without human intervention. The training provides you with ways of expanding the limits of what a computer system can accurately inspect. The Deep Learning course (with Keras and Tensorflow) certification training course online will help you differentiate between Deep Learning, Machine Learning, and Artificial Intelligence.
Once you complete the Deep Learning course (with Keras and Tensorflow) certification training, you will be adept in skills such as –
Use an open-sourced framework like TensorFlow and a high-level API like Keras and benefit from the vast library of deep neural networks
With improved processing power you can use these two frameworks for deep learning projects in most popular languages like C, C++, Python, Java, Android, Linux, Windows, IoS, and many more
Learn to use PyTorch and its elements which will give you simpler and faster Python codes to generate dynamic computational graphs.
Use of PyTorch will ensure better optimization of data.
Analyse visual elements with the help of Convolutional Neural Networks (CNN), while working on image classification
Speed up your image classifying process and increase its efficiency
Use ANNs in pattern recognition software, while also utilising them in making machine learning models
Learn to use Autoencoders to develop models of image processing, anomaly detection, machine translation, and other deep learning models
Utilise Deep Neural Networks in a variety of models based on deep learning for increased computation power, like speech recognition, audio recognition, image analysis, and machine vision
Analyse large pools of raw and unsegmented data with the use of rich recurrent neural networks
Understand the role of optimizers to establish and reform the weight parameters in diminishing the loss function
Upon completion of the Deep Learning course with (Keras and Tensorflow) certification training, participants will acquire an industry-recognized course completion certificate with lifelong validity after the completion of course. You can find lucrative roles as a data scientist or a machine learning engineer in diverse industries such as healthcare, information technology, fin-tech, and e-commerce. As a certified Deep Learning professional, you can earn up to 13 Lakhs per annum.
In fact, several top recruiters such as Accenture, Oracle, Walmart, NVIDIA, Microsoft, and many more are always on the lookout for certified Data Learning professionals so you can get opportunities without fail.
You Will Get Certification After Completetion This Course.