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# Learn Tensorflow Autoencoders | 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:

__AurĂ©lien 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.

Taught By:

__Alex Aklson__ Duration: Approx. 8 hours to complete

Description: You will learn about Neural Networks and Deep Learning, Artificial Neural Networks, Building Deep Learning models with Keras, CNN, RNN, Autoencoders, Building a Deep Learning project with Keras.

Prerequisite: You need to know the basics of Machine Learning and Python programming.

Taught By:

__Joseph Santarcangelo__ Duration: Approx. 2 to 4 hours per week

Description: You will learn about Classification, Training Softmax with PyTorch, Basics of Neural Networks, Deep Neural Networks, Computer Vision Networks (Convolution, Max Pooling, etc.), Dimensionality Reduction, and Autoencoders.

Prerequisite: You need to know the basics of Machine Learning, Deep Learning, and Python programming.

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