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 stars78.71%
- 4 stars15.82%
- 3 stars3.63%
- 2 stars1.03%
- 1 star0.79%
TOP REVIEWS FROM CONVOLUTIONAL NEURAL NETWORKS IN TENSORFLOW
The course was fine sometimes I feel too easy. I would like to see more of the available options for the layers, such as padding, stride. filter size, mean average, batch normalization, etc...
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.
An excellent course by Laurence Moroney on explaining how ConvNets are prepared using Tensorflow. A really good strategy to have the programming exercises on Google Colab to speed up the processing.
Excellent material superbly presented by world-class experts.
Sorry if this sounds sycophantic, but this series contains some of the best courses I've encountered in50+ years of learning.
About the DeepLearning.AI TensorFlow Developer Professional Certificate

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