TensorFlow 2.0 Complete Course - Python Neural Networks for Beginners Tutorial

Embark on a comprehensive 7-hour course covering TensorFlow 2.0 and Python neural networks for beginners. Dive into machine learning and artificial intelligence fundamentals through 8 modules, exploring core learning algorithms, deep learning with neural networks, computer vision using convolutional neural networks, natural language processing with recurrent neural networks, and reinforcement learning. Gain hands-on experience with in-depth explanations and diverse coding examples using Google Colaboratory Notebooks. Master essential techniques to apply machine learning and AI to unique problems and datasets. Led by Tim Ruscica, known as "Tech With Tim," this course equips Python programmers with the knowledge and skills to excel in the field of AI and machine learning.

) Module 1: Machine Learning Fundamentals .
) Module 2: Introduction to TensorFlow.
) Module 3: Core Learning Algorithms.
) Module 4: Neural Networks with TensorFlow.
) Module 5: Deep Computer Vision - Convolutional Neural Networks.
) Module 6: Natural Language Processing with RNNs.
) Module 7: Reinforcement Learning with Q-Learning.
) Module 8: Conclusion and Next Steps.