Crash Course in Deep Learning with Google TensorFlow Python
Dive into the world of Deep Learning with Google TensorFlow Python! Uncover the fundamentals of deep neural networks and their role in revolutionizing AI and data analysis. #DeepLearning #TensorFlow #Python #AIInstitute ▼
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Course Feature
Cost:
Paid
Provider:
Udemy
Certificate:
Paid Certification
Language:
English
Start Date:
On-Demand
Course Overview
❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [August 31st, 2023]
What does this course tell?
(Please note that the following overview content is from Alison)
Learn how to use Google TensorFlow, a leading machine learning library from Google AI team, to create a range of machine learning models, from custom deep neural networks to transfer learning models built by big tech giants. This course will teach you how to install TensorFlow, use different TensorFlow environments, create computation graphs, Artificial Neural Networks (ANN), Convolutional Neural networks (CNN), regularization techniques such as Dropout and Max Pooling, Keras & TfLearn, and build a custom Image Classifier on any dataset. You will also learn about transfer learning and how to use Google inception. Extensive assignments and periodic updates on the subject are included.
We consider the value of this course from multiple aspects, and finally summarize it for you from three aspects: personal skills, career development, and further study:
(Kindly be aware that our content is optimized by AI tools while also undergoing moderation carefully from our editorial staff.)
What skills and knowledge will you acquire during this course?
By taking this course, students will acquire skills and knowledge in TensorFlow installation, different TensorFlow environments, computation graphs, Artificial Neural Networks (ANN), Convolutional Neural networks (CNN), Regularization in Neural Networks - Dropout and Max Pooling, Keras & TfLearn, building a custom Image Classifier on ANY Dataset, Transfer learning and how to use Google inception. Additionally, students will gain extensive assignments to test their understanding and periodic updates on the subject.
lHow does this course contribute to professional growth?
This course provides professionals with the opportunity to gain a comprehensive understanding of Google TensorFlow, a leading machine learning library from Google AI team. Professionals will learn how to use and reuse TensorFlow effectively and apply it to industry-relevant problems. They will also gain knowledge on different TensorFlow environments, computation graphs, artificial neural networks (ANN), convolutional neural networks (CNN), regularization in neural networks, Keras & TfLearn, building a custom image classifier on any dataset, and transfer learning. Through extensive assignments and periodic updates on the subject, professionals will be able to test their understanding and grow their skills in deep learning.
Is this course suitable for preparing further education?
Yes, this course is suitable for preparing further education as it provides a comprehensive overview of Google TensorFlow, a leading machine learning library from Google AI team. It covers topics such as TensorFlow installation, different TensorFlow environments, computation graphs, artificial neural networks (ANN), convolutional neural networks (CNN), regularization in neural networks, Keras & TfLearn, building a custom image classifier on any dataset, transfer learning, and how to use Google inception.
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