Python & TensorFlow: Deep Dive into Machine Learning Overview
Python & TensorFlow: Deep Dive into Machine Learning empowers learners with essential skills in machine and deep learning using Python and TensorFlow. Commencing with foundational concepts, the course progresses seamlessly through practical TensorFlow applications, encompassing supervised and unsupervised learning techniques. Participants delve deeply into key aspects of deep learning, such as neural networks, model evaluation, and optimization strategies. By exploring TensorFlow applications for production environments and culminating in an image classification project, this course effectively prepares learners to actively apply machine learning in real-world scenarios.
Python & TensorFlow Machine Learning Learning Outcomes
Understand the fundamentals of machine learning and deep learning.
Install and configure TensorFlow for various machine learning tasks.
Implement supervised learning algorithms using TensorFlow.
Apply unsupervised learning techniques for data exploration and clustering.
Build neural networks with TensorFlow for deep learning applications.
Evaluate machine learning models and optimize their performance.
Deploy TensorFlow models in production environments.
Complete a hands-on project on image classification using TensorFlow.
Gain insights into best practices for model development and deployment.
Summarize their learning and apply TensorFlow skills to real-world machine learning challenges.
