Full-Stack Deep Learning with Python
Duration: 1h 58m 1s | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 268.29 MB
Genre: eLearning | Language: English
Duration: 1h 58m 1s | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 268.29 MB
Genre: eLearning | Language: English
If you seek a more in-depth understanding of deep learning and Python, this hands-on course can help you. In this course, certified Google cloud architect and data engineer Janani Ravi guides you through the intricacies of full-stack deep learning with Python. After a review of full stack deep learning, MLOps, and MLflow, dive into setting up your environment on Google Colab and running MLflow. Learn how to load and explore a dataset, as well as how to log metrics, parameters, and artifacts. Explore model training, evaluation, and hyperparameter tuning. Plus, go over model deployment and predictions.
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