DeepLearning.AI - DeepLearning.AI TensorFlow Developer Professional Certificate
4.9 /5- Offered byCoursera
DeepLearning.AI TensorFlow Developer Professional Certificate at Coursera Overview
DeepLearning.AI TensorFlow Developer Professional Certificate
at Coursera
Kickstart your career by learning applied machine learning skills with TensorFlow so you can build and train powerful models
Duration | 4 hours |
Total fee | ₹3,576 |
Mode of learning | Online |
Difficulty level | Intermediate |
Credential | Certificate |
DeepLearning.AI TensorFlow Developer Professional Certificate at Coursera Highlights
DeepLearning.AI TensorFlow Developer Professional Certificate
at Coursera
- Earn a certificate of completion from DeepLearning.AI
- Get a14 days refund period
- Unlimited access to all 4 courses
- Learn from graded quizzes and assignments
- Get hands-on experience through 16 Python programming assignments
Read more
DeepLearning.AI TensorFlow Developer Professional Certificate at Coursera Course details
DeepLearning.AI TensorFlow Developer Professional Certificate
at Coursera
What are the course deliverables?
- Best practices for TensorFlow, a popular open-source machine learning framework to train a neural network for a computer vision applications
- Handle real-world image data and explore strategies to prevent overfitting, including augmentation and dropout
- Build natural language processing systems using TensorFlow
- Apply RNNs, GRUs, and LSTMs as you train them using text repositories
More about this course
- TensorFlow is one of the most in-demand and popular open-source deep learning frameworks available today
- In this hands-on, four-course Professional Certificate program, learn the necessary tools to build scalable AI-powered applications with TensorFlow
- After finishing this program, students will be able to apply your new TensorFlow skills to a wide range of problems and projects
- This program can help students prepare for the Google TensorFlow Certificate exam and bring them one step closer to achieving the Google TensorFlow Certificate
DeepLearning.AI TensorFlow Developer Professional Certificate at Coursera Curriculum
DeepLearning.AI TensorFlow Developer Professional Certificate
at Coursera
COURSE 1 Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
A New Programming Paradigm
Introduction to Computer Vision
Enhancing Vision with Convolutional Neural Networks
Using Real-world Images
COURSE 2
Convolutional Neural Networks in TensorFlow
Exploring a Larger Dataset
Augmentation: A technique to avoid overfitting
Transfer Learning
Multiclass Classifications
COURSE 3 Natural Language Processing in TensorFlow
Sentiment in text
Word Embeddings
Sequence models
Sequence models and literature
COURSE 4 Sequences, Time Series and Prediction
Sequences and Prediction
Deep Neural Networks for Time Series
Recurrent Neural Networks for Time Series
Real-world time series data
DeepLearning.AI TensorFlow Developer Professional Certificate at Coursera Faculty details
DeepLearning.AI TensorFlow Developer Professional Certificate
at Coursera
Laurence Moroney
Laurence Moroney leads AI Advocacy at Google, with a vision to make AI easy for developers and to widen access to ML careers for everyone. He’s written dozens of programming books, the most recent being ‘AI and ML for Coders’ at O’Reilly. Laurence believes that MOOCs are one of the greatest ways to learn, and is excited to create TensorFlow Specializations with DeepLearning.AI on Coursera. When not working with technology, he’s an active member of the Science Fiction Writers of America, and has authored several sci-fi novels, and comics books, and a produced screenplay. Laurence is based in Washington state, where he drinks way too much coffee
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Balakrishnan
DeepLearning.AI TensorFlow Developer Professional Certificate
Offered by Coursera
5
Learning Experience: Best practices for TensorFlow, a popular open-source machine learning framework to train a neural network for a computer vision applications Handle real-world image data and explore strategies to prevent overfitting, including augmentation and dropout Build natural language processing systems using TensorFlow Apply RNNs, GRUs, and LSTMs as you train them using text repositories
Faculty: Laurence Moroney also leads AI Advocacy at Google, with a vision to make AI easy for developers and to widen access to Machine Learning careers for everyone.
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning, Convolutional Neural Networks in TensorFlow, Natural Language Processing in TensorFlow, 4 Sequences, Time Series and Prediction
Reviewed on 6 Feb 2023Read More
N
Nitin Jotwani
DeepLearning.AI TensorFlow Developer Professional Certificate
Offered by Coursera
5
Learning Experience: Learning experience was good
Faculty: Instructors taught well
covered cv and nlp
Course Support: No career support provided
Reviewed on 27 Feb 2022Read More
G
Gayathri A
DeepLearning.AI TensorFlow Developer Professional Certificate
Offered by Coursera
5
Other: It is best for a beginner to understand the basic concepts regarding machine learning, deep learning. This course provide various hands on assignments improve our skills.
Reviewed on 12 Sep 2021Read More
S
Sangeetha P
DeepLearning.AI TensorFlow Developer Professional Certificate
Offered by Coursera
5
Other: Deep Learning course by Andrew ng - Stanford University course helped me a lot in understanding the core concepts, math/stats involved in machine learning, deep learning algorithms. I would strongly recommend to take this course who wants to get the insights of the algorithms and model.
Reviewed on 2 Dec 2020Read More
R
Roshan Ankush Hande
DeepLearning.AI TensorFlow Developer Professional Certificate
Offered by Coursera
5
Other: The Course has an awesome and knowledgeable professor like Andrew Ng and Lawrence Moroney. The course is very practical. It has enough to get one started with deep learning.
Reviewed on 24 Oct 2020Read More
View All 6 Reviews
DeepLearning.AI TensorFlow Developer Professional Certificate
at Coursera
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