English | Size: 431.12 MB
Genre: eLearning
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.
rapidgator.net/file/5f6dcb1d688aeb8aeb13bdc745c7fb8d/LN-Full-StackDeepLearningwithPython.part1.rar.html
rapidgator.net/file/7919c740ab551de091ff645fd978f634/LN-Full-StackDeepLearningwithPython.part2.rar.html
tbit.to/ld3t8hzzwdjo/LN-Full-StackDeepLearningwithPython.part1.rar.html
tbit.to/okdqxjnz9mwk/LN-Full-StackDeepLearningwithPython.part2.rar.html
If any links die or problem unrar, send request to
forms.gle/e557HbjJ5vatekDV9