UdemyAbout This Course
Learn how to use Google's Deep Learning Framework - TensorFlow with Python! Solve problems with cutting edge techniques! What you'll learn: Understand how Neural Networks WorkBuild your own Neural Network from Scratch with PythonUse TensorFlow for Classification and Regression TasksUse TensorFlow for Image Classification with Convolutional Neural NetworksUse TensorFlow for Time Series Analysis with Recurrent Neural NetworksUse TensorFlow for solving Unsupervised Learning Problems with AutoEncodersLearn how to conduct Reinforcement Learning with OpenAI GymCreate Generative Adversarial Networks with TensorFlowBecome a Deep Learning Guru! Welcome to the Complete Guide to TensorFlow for Deep Learning with Python! This course will guide you through how to use Google's TensorFlow framework to create artificial neural networks for deep learning! This course aims to give you an easy to understand guide to the complexities of Google's TensorFlow framework in a way that is easy to understand.Other courses and tutorials have tended tostay away from pure tensorflow and instead use abstractions that give the user less control. Here we present a course that finally serves as a complete guide to using the TensorFlow framework as intended, while showing you the latest techniques available in deep learning! This course is designed to balance theory and practical implementation, with complete jupyter notebook guides of code and easy to reference slides and notes. We also have plenty of exercises to test your new skills along the way! This course covers a variety of topics, including Neural Network BasicsTensorFlow BasicsArtificial Neural NetworksDensely Connected NetworksConvolutionalNeural NetworksRecurrent Neural NetworksAutoEncodersReinforcement LearningOpenAIGymand much more! There are many Deep Learning Frameworks out there, sowhy use TensorFlow? TensorFlowis an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathemati
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