Learn the fundamentals of Convolutional Neural Networks with TensorFlow in Python in Python . Perform Computer Vision and Machine Learning tasks . Master the basics of CNN architecture and the role of L2 regularization and weight decay . Understand kernels and dropout are concepts behind popular state-of-the-art CNN architectures . Visualize networks and metrics using Tensorboard and approach multilabel classification . Convert Images into Tensors and Convert Images to Tensors . Explore the concepts behind the concepts of popular popular CNN architecture . Use the language language of Python to help you understand and understand the concept of dropout and regularization . Use Tensorflow to help students understand and test their knowledge of neural networks in Python.API quota exceeded. You can make 500 requests per day.
Who this course is for:
Anyone seeking to advance their skills in Machine Learning and Computer Vision
This course is for you if you want to learn how Convolutional Neural Networks work
Anyone who wants to make a career in Deep Learning
Individuals who are curious and passionate about AI
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Convolutional Neural Networks with TensorFlow in Python free download