Neural Networks and Deep Learning (training)

Colleagues, by the end of the “Neural Networks and Deep Learning” program you will understand the key technological trends driving the rise of deep learning; build, train, and apply fully connected deep neural networks; implement efficient or vectorized neural networks; and identify key parameters in a neural network’s architecture; and apply deep learning to your own applications. Acquire high-demand skills inArtificial Neural Networks, Supervised Learning, Artificial Intelligence, Convolutional Neural Networks, Deep Learning, Model Training, Model Optimization, Applied Machine Learning, Machine Learning Methods, and Recurrent Neural Networks - RNNs.

Training modules include: 1) Introduction to Deep Learning: Analyze the major trends driving the rise of deep learning, and give examples of where and how it is applied today, 2) Neural Networks Basics: Set up a machine learning problem with a neural network mindset and use vectorization to speed up your models, 3) Shallow Neural Networks: Build a neural network with one hidden layer, using forward propagation and backpropagation, and 4) Deep Neural Networks.

Enroll today. Teams and executives are welcome! https://imp.i384100.net/4POZWZ

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