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Overview
Build Deep Learning Algorithms with TensorFlow 2.0, Dive into Neural Networks and Apply Your Skills in a Business Case What you'll learn: Gain a Strong Understanding of TensorFlow - Googles Cutting-Edge Deep Learning FrameworkBuild Deep Learning Algorithms from Scratch in Python Using NumPy and TensorFlowSet Yourself Apart with Hands-on Deep and Machine Learning ExperienceGrasp the Mathematics Behind Deep Learning AlgorithmsUnderstand Backpropagation, Stochastic Gradient Descent, Batching, Momentum, and Learning Rate SchedulesKnow the Ins and Outs of Underfitting, Overfitting, Training, Validation,...
Syllabus
- Welcome! Course introduction
- Introduction to neural networks
- Setting up the working environment
- Minimal example - your first machine learning algorithm
- TensorFlow - An introduction
- Going deeper: Introduction to deep neural networks
- Backpropagation. A peek into the Mathematics of Optimization
- Overfitting
- Initialization
- Gradient descent and learning rates
Instructor
365 Careers
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