INM 707 Deep Reinforcement Learning

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What the course is all about?

In this INM 707 Deep Reinforcement Learning specialization, you may build and train neural network architectures like Convolutional Neural Networks, continual Neural Networks, LSTMs, Transformers, and learn the way to create them higher with ways like Dropout, BatchNorm, Xavier/He data formatting, and more. Make preparations to master theoretical ideas and their trade applications exploitation Python and TensorFlow and tackle real-world cases like speech recognition, music synthesis, chat bots, artificial intelligence, tongue process, and more.

What you may learn?

• Build and train deep neural networks, establish key design parameters, implement vectorized neural networks and deep learning to applications
• The train takes a look at sets, analyze variance for deciliter applications, use commonplace techniques and optimization algorithms, and build neural networks in TensorFlow

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