Image Understanding with TensorFlow on GCP
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 4 Hours 20M | 799 MB
Genre: eLearning | Language: English
In this course, we will take a look at different strategies for building an image classifier using convolutional neural networks.
We'll improve the model's accuracy with augmentation, feature extraction, and fine-tuning hyperparameters while. We'll improve the model's accuracy with augmentation, feature extraction, and fine-tuning hyperparameters while trying to avoid overfitting our data. We will also look at practical issues that arise, for example, when you don't have enough data and how to incorporate the latest research findings into our models. You will get hands-on practice building and optimizing your own image classification models on a variety of public datasets in the labs we'll work on together.
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