2 Courses and Certifications

Coursera Deep Learning With Tensorflow Courses & Certifications

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Building Deep Learning Models with TensorFlow

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Building Deep Learning Models with TensorFlow

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.

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5 Weeks
Intermediate
4,115
Skills Covered:
Knowledge of deep learning
Certificate

Probabilistic Deep Learning with TensorFlow 2

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.

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3 Hours
Expert
4,117
Skills Covered:
Knowledge of deep learning Programming skills Mathematical skill Statistical skills

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