[Update Links] Deep Learning with Tensorflow, Keras and PyTorch, 2nd Edition | Livelessons

An intuitive, application-focused introduction to deep learning and TensorFlow, Keras, and PyTorch

Deep Learning with TensorFlow, Keras, and PyTorch LiveLessons is an introduction to deep learning that brings the revolutionary machine-learning approach to life with interactive demos from the most popular deep learning library, TensorFlow, and its high-level API, Keras, as well as the hot new library PyTorch. Essential theory is whiteboarded to provide an intuitive understanding of deep learning’s underlying foundations; i.e., artificial neural networks. Paired with tips for overcoming common pitfalls and hands-on code run-throughs provided in Python-based Jupyter notebooks, this foundational knowledge empowers individuals with no previous understanding of neural networks to build powerful state-of-the-art deep learning models.

Intermediate

Learn How To
Build deep learning models in all the major libraries: TensorFlow, Keras, and PyTorch
Understand the language and theory of artificial neural networks
Excel across a broad range of computational problems including machine vision, natural language processing, and reinforcement learning
Create algorithms with state-of-the-art performance by fine-tuning model architectures
Self-direct and complete your own Deep Learning projects

Who Should Take This Course
Software engineers, data scientists, analysts, and statisticians with an interest in deep learning.
Code examples are provided in Python, so familiarity with it or another object-oriented programming language would be helpful.
Previous experience with statistics or machine learning is not necessary.

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