If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the upcoming Machine Learning in Tensorflow Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.
This course is part of the DeepLearning.AI TensorFlow Developer Professional Certificate
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About this Course
Course 1 of the TensorFlow Specialization, Python coding, and high-school level math are required. ML/DL experience is helpful but not required.
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessWhat you will learn
Handle real-world image data
Plot loss and accuracy
Explore strategies to prevent overfitting, including augmentation and dropout
Learn transfer learning and how learned features can be extracted from models
Skills you will gain
- Inductive Transfer
- Augmentation
- Dropouts
- Machine Learning
- Tensorflow
Course 1 of the TensorFlow Specialization, Python coding, and high-school level math are required. ML/DL experience is helpful but not required.
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
Exploring a Larger Dataset
Augmentation: A technique to avoid overfitting
Transfer Learning
Multiclass Classifications
Reviews
- 5 stars78.78%
- 4 stars15.78%
- 3 stars3.61%
- 2 stars1.02%
- 1 star0.79%
TOP REVIEWS FROM CONVOLUTIONAL NEURAL NETWORKS IN TENSORFLOW
A really good course that builds up the knowledge over the concepts covered in Course 1. All the ideas are applicable in real world scenario and this is what makes the course that much more valuable!
If you are looking for a course to build up your ML/DL coding skills, this is a very interesting and easily explained course. Highly recommended for any learner in the field of DL/Computer Vision.
Nice experience taking this course. Precise and to the point introduction of topics and a really nice head start into practical aspects of Computer Vision and using the amazing tensorflow framework..
Excellent and detailed on how to create a convolutional neural network using TensorFlow as well as explaining how to solve problems such as low accuracy, overfitting and even improving the dataset.
About the DeepLearning.AI TensorFlow Developer Professional Certificate

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