Online Deep Learning With Tensorflow Courses & Certifications

Deep Learning - TensorFlow Training by DataMites is supported by global industry experts and saturated with the latest best practices to transform learners into deep learning experts. The workshop and Deep Learning - TensorFlow Training certification syllabus will help them learn the foundations of deep learning with TensorFlow and create an understanding of neural networks. Additionally, they will learn about Adam, BatchNorm, Dropout, Convolutional networks, LSTM, RNNs, etc.

In Building Deep Learning Models with TensorFlow course, learners will obtain a hands-on experience with the TensorFlow library as a strong mechanism for the application of Deep Learning to real-world issues. 

The course efficiently combines Machine Learning and Data Science to impart an all-rounder learning on building Deep Learning models. As a part of the IBM AI Engineering Professional Certificate, students will grasp all fundamentals of Machine learning and Deep Learning, including the use of Python. 

Hands-on projects will provide the course takers with essential Data Science skills and unsupervised learning. Candidates will also build, deploy and train their Deep Learning models and adopt various features of the TensorFlow library in them. Since the majority of data in the world is unstructured and unlabelled, shallow neural networks find it difficult to capture structures in data comprising sound, images and texts. 

However, deep networks are capable of performing this function and hence this course has been created to provide an Intermediate Level of knowledge of how to go about it. IBM is a major player in the industry by providing a broad portfolio to its trainees for software development, predictive analytics, and systems management. Its expertise in technology and R&D is incorporated into the course curriculum.

Online Certificate Course in Deep Learning using Tensorflow 2 and Keras by the National Institute of Electronics and Information Technology is a foundational course aimed at imbuing within students various Deep Learning skills and algorithm evaluation performances for multiple applications. It touches on machine learning, natural language processing (NLP), and programming languages that guarantee a career in AI.

The course is spread across five weeks and filled with several theory and practical learning modules. Moreover, the Online Certificate Course in Deep Learning using Tensorflow 2 and Keras by NIELIT also covers Cloud Computing, Internet of things (IoT) and Data Analytics. It includes case studies and projects which are industry-relevant. A course completion certificate is also provided to candidates towards the end of the programme.

Mr Ripunjay Singh is the instructor of NIELIT’s Online Certification Course in Deep Learning using Tensorflow 2 and Keras programme. Candidates need to dedicate one hour on weekdays from 3 PM to 4 PM. Candidates are selected on a first-come, first-serve basis.

A considerable amount of the world’s data is unstructured, including text, sound, images, etc. By joining the Deep Learning with TensorFlow certification course, you will learn how Deep Learning can be applied with TensorFlow to this kind of data and solve real-life problems. You will study the main functions, execution pipeline, basic concepts and operations of TensorFlow.

During the 5-week duration of the Deep Learning with TensorFlow online program, you will explore various kinds of Deep Architectures, like Autoencoders, Recurrent Networks, and Convolutional Networks. Also, you will learn how to implement TensorFlow for backpropagation to adjust the biases and weights while training the neural networks.

With the help of edX’s Deep Learning with TensorFlow course, you will learn how TensorFlow can be used in regression, minimizing error functions, curve fitting and classification. The course offers you free access to its contents for a limited duration and you can also get the option to avail of a professional certificate on completion after paying the prescribed fee. 

The ‘Deep Learning using TensorFlow’ online course is offered by the online education provider platform ‘Edu Plus Now’ which in association with the Indian Statistical Institute in Pune provides the certification in this program. The course is aimed at individuals interested in learning about the strategies in deep learning with the help of the software tool called TensorFlow and the classes are scheduled online on the weekends and will take thirty-six hours to complete the training.

The online training is provided by the faculty who are professionals from the industry and the course curriculum consists of lectures and industrially relevant projects that help the students gain hands-on experience while implementing the theoretical knowledge acquired during the course study. 

In this ‘Deep Learning using TensorFlow’ course by Eduplusnow, the students will explore deep learning with the training on Keras and TensorFlow and will improve their understanding of the concepts of neural networks.

One of the most cutting-edge forms of machine learning, deep learning is a challenging concept to master. However, coupling TensorFlow with Python and Keras API, it becomes easier to train, tune, and test deep learning models. With Codecademy’s Build Deep Learning Models with TensorFlow programme, that’s exactly what you’ll learn. 

The Build Deep Learning Models with TensorFlow certification course offers step-by-step mentorship to build your skills in deep learning. Through immersive projects and a comprehensive syllabus, you’ll understand neural networks’ underlying logic, create deep learning models, and explore their daily uses. 

While the Build Deep Learning Models with TensorFlow skill path offers a free trial, you can also upgrade to the Pro version. This will unlock extra lessons, unlimited access, a complete learning experience, and a valuable certificate of completion. The Codecademy Pro option will also provide members-only content, including additional practice and quizzes. You will receive a step-by-step roadmap to learn conveniently.

The ‘Probabilistic Deep Learning with TensorFlow 2’ online course is a study about the building of probabilistic models with TensorFlow and the incorporation of probabilistic distributions into deep learning models such as Bayesian neural networks, normalizing flows, and variational autoencoders. This certification course is provided by the Coursera online education platform and the course modules are developed by the Imperial College London.

This program is an overview of the TensorFlow Probabilistic Library and is scheduled to be completed in fifty-two hours. The classes are guided by Dr. Kevin Webster(Senior Teaching fellow in Statistics) from the faculty of natural sciences at the department of mathematics in Imperial College London. 

The ‘Probabilistic Deep Learning with TensorFlow 2’ enables students to receive a course completion certificate and the opportunity to learn the course at the preferred pace. The students are engaged with learning methodologies such as video lectures, graded assignments, and quizzes for evaluation.

Many of the companies, all around the world, face a huge mountain of data as the world progresses and transforms more into an open book. The issue with it is that it has made evaluating that data and making a scheme on it that much difficult with its quantity.

Deep Learning solves this issue by processing all that data in a better and faster way even if their network structures are complex in nature. However, there are not many people who can design Deep Learning models and train them for such a task.

This is where Certificate in Deep Learning with TensorFlow comes in. The course by Vskills teaches the candidates how they can tailor their Deep Learning models and measure them to the task of processing larger datasets and go through them even if they are complex in nature. Furthermore, it teaches the applicants the techniques behind the distribution of work in both high and low TensorFlow.

The Intro to TensorFlow for Deep Learning training is offered for a period of approximately two-month course duration with an intermediate level of difficulty. The content offered has a rich amount of information and is instructed by three prominent instructors from TensorFlow medium. 

The course can be pursued at self-paced progress and the candidate will learn the practicality involved with theories of deep learning for developers. The course will teach hands-on methods with models in real-world applications. The candidates will be exposed to large datasets which use advanced algorithms and techniques. The course is taught free of charge and aims to strengthen programmers and developers to build AI applications. 

AI & Deep Learning with TensorFlow Training Course is designed to expose the learners to artificial intelligence (AI) and deep learning with TensorFlow and to help them acquire mastery in the deep networks.  In the course by Mindmajix Technologies, the students will thoroughly understand various types of Deep Architectures including Recurrent Neural Networks, Convolutional Neural Networks, etc. Plus, the course will explore the concepts of TensorFlow which facilitates the application of neural-based networks and other algorithms based on deep learning. 

Along with the intensive theoretical aspects, AI & Deep Learning with TensorFlow Training online course will provide the learners with practical exposure making use of practical projects, industry use cases, and real-time examples. AI & Deep Learning with TensorFlow Training certification equips the students with insight into concepts of deep learning, Neural Networks, Convolutional Neural Networks, and the fundamentals of artificial intelligence. The course can be pursued by the students in the Mindmajix-provided three ways. 

TensorFlow Training course is designed to help the learners to develop a solid understanding of all the aspects of TensorFlow. The online training programme offered by the online educational training platform Mindmajix will equip the learners with deep knowledge on the core essentials of TensorFlow, the open-source software library for machine learning and artificial intelligence,and will help to pass the TensorFlow Certification test.

TensorFlow Training online course will also enable the students to acquire the potential to develop deep neural networks. The curriculum will explore Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Restricted Boltzmann Machine(RBM), Deep Networks and the like through practical projects and case studies.  TensorFlow Training certification stipulates for the candidates having the fundamentals of programming and basic knowledge of Mathematics and Statistics. Mindmajix provides three options for enrolment into the online programme; virtual live instructor-led training, corporate training and self-paced training through pre-recorded videos. Post the course, the learners will be provided with the premium features of Career Counseling Sessions, Mock Interviews, Custom Resume Builder Access and many more.

One of the best libraries for deep learning implementation is TensorFlow. TensorFlow is a software library that uses data flow graphs to compute mathematical expressions numerically. The Deep Learning with TensorFlow certification course was created by Packt Publishing, a tech-focused educational platform, and is made available by Udemy, which is targeted at learners who want to learn how to use TensorFlow to explore deep learning's potential.

Deep Learning with TensorFlow online course involves 2 hours of comprehensive video-based learning resources that are targeted at learners who want to become certified data scientists so they can perform machine learning and regularly work with neural networks. Deep Learning with TensorFlow online classes discusses topics like neural networks, image recognition, logistic regression, convoluted neural networks, and recurrent neural networks as well as discuss multiple significant deep learning algorithms covered, as well as numerous examples that make use of deep neural networks.