Free Certification Course Title: Neural Networks with Tensorflow
In this hands-on, practical course, you will be working your way through Python, Tensorflow, and Jupyter notebooks.
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What you’ll learn:
- Basics of Tensorflow
- Artificial Neurons
- Feed Forward Neural Networks
- Activations and Softmax Output
- Gradient Descent
- Backpropagation
- Loss Function
- MSE
- Model Optimization
- Cross-Entropy
- Linear Regression
- Logistic Regression
- Convolutional Neural Networks (with examples)
- Text and Sequence Data
- Recurrent Neural Networks (with examples)
- Neural Style Transfer (in progress)
Requirements:
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You should know Python programming, have basic math knowledge, and basic concepts of machine learning before enrolling.
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Who this course is for:
- You want to get into machine learning and artificial neural networks
- You already work in ML/AI and need to learn Tensorflow
- You are a student, know some coding, and want to get into machine learning
This course includes:
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5 hours on-demand video
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2 downloadable resources
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Full lifetime access
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Access on mobile and TV
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Certificate of completion
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How to Subscribe for Neural Networks with Tensorflow?
- Sign Up on Udemy.com
- Subscribe Here(Neural Networks with Tensorflow): Click Here
Apply Coupon Code: MARCH3OFAI
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