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Learn Tensorflow Placeholders | Best Tutorials and Courses


Taught By: Jose Portilla
Duration: Approx. 14 hours to complete
Description: This course covers the following topics in Machine Learning which we can code using Tensorflow in Python: Installation and Setup of Tensorflow, Introduction to Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, AutoEncoders, Reinforcement Learning, GAN - Generative Adversarial Networks.
Prerequisite: You need to have basic knowledge in Python programming and basic knowledge of maths and statistics.
Taught By: Intellipaat
Duration: Duration
Description: This Tensorflow tutorial helps you to learn the following topics: What are Tensors?, Tensor Rank, Computational Graph, Program Elements in Tensorflow, Constants in Tensorflow, Placeholders in Tensorflow, Variable in Placeholder.
Prerequisite: You need to have basic knowledge of Python programming.
Taught By: Laurence Moroney
Duration: Approx. 30 hours to complete
Description: This course covers the following topics which we can code using TensorFlow in Python: Introduction to Computer Vision, Convolutional Neural Networks.
Prerequisite: This course requires experience in Python coding and intermediate level maths. Also, a brief knowledge about machine learning and deep learning will be helpful, but not required.
Taught By: Aurélien Geron
Duration: Self-Paced
Description: This is one of the best books you can get for someone who is just starting out in Machine Learning, in its libraries such as Tensorflow. The book covers the basics in a very good manner.
Prerequisite: You need to have basic Python knowledge to understand the material in the book.
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