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Deep Learning Course with TensorFlow Online Training

(218 Ratings) 637 Students Enrolled
$ 599 $ 370 38% off 100% Money Back Guarantee
12k+ satisfied learners Read Reviews

Key Features

100% Practical training

Experienced Trainers

100% Placement assistance

Small batch size

Customized training content

Real-time project training

Fully equipped cloud lab

100% Customer support

100% Money back guarantee

Career Opportunities

The average salary of Deep Learning with TensorFlow professionals is $120,000 per year. The pay scale will further go high with a professional's industry standards and expertise.
Deep Learning with TensorFlow is a well-adopted machine learning technique in the current industry with 1000+ jobs available in India.
Top companies like Google, Uber, Intel, Facebook, Walmart, Adobe, are utilizing Deep Learning with TensorFlow.
Deep Learning with TensorFlow has a bright career with various job roles like Data Scientist, Deep Learning Engineer, Machine Learning Engineer, NLP Developer, Computer Vision Engineer, ML & NLP Engineer, and much more.

Curriculum

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About Deep Learning with TensorFlow Online Training Course

Spark Databox's Deep Learning with TensorFlow training course has been designed by industry experts and is supported by the most advanced best practices to mold you as an expert in deep learning. In this course, you will learn to comprehend deep learning concepts along with the TensorFlow framework. You will also learn to perform deep learning algorithms, develop artificial neural networks, and cover concepts of data abstraction to experience the potential of data and equip you for a bright career in deep learning.

Spark Databox Deep Learning with TensorFlow training will make you a Data Scientist by furnishing you with productive hands-on training on Deep Learning with TensorFlow. This course will act as the first step for your Data Science campaign, where you will receive the opportunity to work on many Deep Learning projects.

You will gain hands-on practical experience developing your own state-of-the-art model algorithm and other deep learning paradigms. You will also apply these TensorFlow models in real-life scenarios including, browsers, cloud, and even in mobile devices. Eventually, you will utilize superior techniques and algorithms to operate with massive datasets. Upon the completion of this course, you will be well versed with all the required skills to develop
your own application.

The Deep Learning with TensorFlow Training course will:
Offer you the full-fledged knowledge of Deep Learning and Deep Neural Networks
Provide you with extensive knowledge of multiple Neural Network designs like Convolutional Neural Network, Recurrent Neural Network, Autoencoders
You will understand the deployment of Collaborative Filtering with (restricted Boltzmann machine (RBM), an artificial neural network for machine learning of credibility distributions. 
Provide with exposure to real-time projects that are accomplished utilizing TensorFlow library
Meticulous engagement of an SME during the AI & Deep Learning Training to acquire industry criteria and best practices

Deep Learning is one of the most fast-growing and optimistic sectors, among all the technologies available in today's IT industry. To grow as an expert in Deep Learning with TensorFlow, you require an organized training structure with the most advanced facilities as per modern industry demands along with best practices. Beyond firm theoretical knowledge, you will be accomplishing several real-time projects using distinct neural network designs as a piece of the solution procedure.

Upon the completion of the Deep Learning with TensorFlow course, you will be capable of performing the following skill sets:
Learn the overall concepts, primary functions, procedures, and the execution of TensorFlow
Executing deep learning algorithms, learning neural networks and cross the levels of data abstraction that will enable you to understand the data completely
Comprehend high-level concepts like convolutional & recurrent neural networks, deep networks, and advanced interfaces
Develop deep learning paradigms in TensorFlow and evaluate the outcomes
Understanding the basic concepts of artificial neural networks and required language 
Troubleshoot and promote deep learning paradigms
Discover the discrimination of deep learning, machine learning, and artificial intelligence
Develop your own deep learning application

Deep Learning with TensorFlow course is ideal for: 
Software engineers
Analytics Professionals
Data scientists
Business Analysts
Data analysts
Students who are aspiring to make a career in Deep Learning

One should have basic programming knowledge, a good understanding of statistics and mathematics, which will be highly beneficial to go forward with the course. 

Introduction to Deep Learning with TensorFlow online course

Grow as a master in neural networks, and acquire to execute them utilizing the deep learning framework with TensorFlow. Establish convolutional networks for recognition of image, recurrent networks, and generative adversarial networks for image creation and explore how to deploy patterns from a website.

TensorFlow has become the most popular open-source Deep Learning library from Google. It helps to make the computing load more manageable and more active for applications of deep learning and machine learning. TensorFlow is mostly applied while developing neural networks and facilitates the means of obtaining the data you require for practice. It is proficient in expediting the varieties of high-level statistical computation needed to reach the deep learning patterns for large scale machine learning. 

Deep learning, also known as Deep neural network, is a part of machine learning in artificial intelligence (AI), which holds networks proficient in acquiring unsupervised data that is unorganized or unlabeled.

Deep learning has emerged, holding its hands with the digital world that has explored the data of different forms around the globe. This data is also known as big data, which is pulled from various sources like search engines, social media, e-commerce platforms, online cinemas, etc. This huge volume of data is readily available and can be distributed over fintech applications, the same as cloud computing.

Deep Learning with TensorFlow is an open-source; free tool which will benefit individual professional and those who are choosing this platform from Online Training course provider. If you are attracted towards the Deep learning and desire to build a career in this field, then you have to this Deep Learning with TensorFlow training courses.

Deep Learning with TensorFlow Exam & Certification

At the end of the Deep Learning with TensorFlow online training course, candidates are supposed to work in a real-time project with good results to receive the course completed certification. If the candidates fail to deliver good results on a real-time project, we will assist them by the solution for their doubts and queries and support reattempting the project. 

If you slip in the first attempt, you can retake the exam after 30 days by paying the reattempt fees.

Yes, you can withdraw your enrollment if required. We will refund the course payment after deducting the administration fee.

You will receive Spark Databox globally certified Deep Learning with TensorFlow online course completion certification.

You can receive in-depth knowledge of Deep Learning with TensorFlow technology, and it confirms your technical skills on the deployment and management of Deep Learning with TensorFlow tool. These certifications will be highly beneficial for those who are aiming to improve their knowledge and career to the succeeding levels with handsome salaries.

Deep Learning with TensorFlow Job Opportunities

Once you are certified with the Deep Learning with TensorFlow Online Courses certification, you will have an abundance of career opportunities from which you can grasp with Spark Databox placement support rendered by the trainers as a part of the course training.


Complete hands-on real-time project training
40+ hours of course duration
Self-paced training
10 to 15 years of Industry expert faculties
100?reer-oriented training
Certification supervision
Own training course materials
Resume building
Placement Support
Affordable fees structure

You will be provided placement and resume building assistance in Spark Databox. Upon successful completion of the course, candidates will be awarded a course completion certificate along with the certificate of practical training Achievement from Spark Databox. With industry partners on-board, we will ensure you have all the support you require to secure a job.

Upcoming Batches

Start Date End Date Time (EST) (UTC - 5) Day
08-Aug-20 05-Sep-20 (09:30 PM - 12:00 AM) Sat-Sun
10-Aug-20 07-Sep-20 (09:30 PM - 11:00 PM) Mon-Fri
11-Aug-20 08-Sep-20 (09:30 PM - 11:00 PM) Tue-Sat
14-Aug-20 11-Sep-20 (09:30 PM - 12:00 AM) Fri-Sat
15-Aug-20 12-Sep-20 (09:30 PM - 12:00 AM) Sat-Sun
17-Aug-20 14-Sep-20 (09:30 PM - 11:00 PM) Mon-Fri

Note : We can arrange classes on different timings up on customer request. Please call us to schedule classes as per your convenient timings. We can arrange one to one training up on customer request.

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FAQs

Every training session will be recorded, and access will be provided to all the videos on Spark Databox's state-of-the-art course training system. You can watch the recorded sessions at your own time and convenience. Or you have the other option to grasp the dropped session in any different live batch.
All of our profoundly qualified trainers are industry experts with years of consistent teaching experience. Each of our mentors has gone through a meticulous selection method, which includes profile screening, professional evaluation, and a training class demo before they are approved for the training session. We also assure that only those trainers with high alumni rank continue to train candidates.
Our coaching assistants are well-experienced partners of industry experts to support you get accredited in your first endeavor. They involve learners to take part actively to assure the candidates are successfully following the course sessions to help enhance your learning activity, from class onboarding to project training and job assistance.