Deep Learning with TensorFlow: Deep Neural Nets in Python

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Deep Learning with TensorFlow: Deep Neural Nets in Python, Leverage Deep Learning and TensorFlow in Python to improve your business! Build deep learning algorithms from scratch

Created by 365 Careers, 365 Careers Team

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What Will I Learn?

• Acquire the most important skill data scientists need in their job – Machine and Deep Learning
• Experience first-hand the unmatched satisfaction of taking big amounts of data and finding complex relationships
• Create Deep Learning algorithms in Python, using NumPy and TensorFlow
• Develop a business intuition while coding and solving tasks with big data
• Get a complete overview of TensorFlow – Google’s cutting-edge deep learning framework
• Apply Deep Learning to a real-life case with real people, real data, and real insights, helping a business optimize its marketing efforts
• Acquire the skills companies look for when hiring data scientists
• Start from the very basics – data, model, objective function, and optimization algorithm
• Obtain a deep understanding of the deep learning process
• Learn the mathematics behind a deep learning algorithm, through our course notes
• Begin with NumPy and transfer to TensorFlow, to see the ML process from different angles
• Build deep learning algorithms from scratch
• Unfold the power of deep neural networks
• Understand backpropagation
• Gradually study more complex topics such as: underfitting and overfitting, training, validation, n-fold cross validation, testing, early stopping, initialization
• Learn about optimization techniques like the stochastic gradient descent, batching, momentum, and learning rate schedules
• Apply each and every topic you learn
• Implement deep learning functions in Python
• Speed up algorithms
• Carry out preprocessing - standardization, normalization, and one-hot encoding
• Assess the accuracy of deep learning algorithms
• Fiddle with hyperparameters for better performance
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