After completing the course, you will learn…
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TensorFlow 2.0
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Gradient Descent Algorithm
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Create Pipeline regression model in TensorFlow
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Lasso Regression
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Feature Selection with lasso
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Programming in TensorFlow 2.0
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Selection of Penalty factor lambda
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Visualizing graph in TensorBoard
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Neuron or Perceptron Model Architecture
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Loss or Cost Function
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TensorFlow Keras API
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Linear Regression
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Create customized model in TensorFlow
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Exploratory Data Analysis
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Data Preprocessing
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Multiple Linear Regression in TensorFlow
Who this course is for:
- Anyone who want to build and train their own network
- Curious of data science
- Who want to learning Deep Learning
Can I download Intro to Deep Learning project in TensorFlow 2.x and Python course?
You can download videos for offline viewing in the Android/iOS app. When course instructors enable the downloading feature for lectures of the course, then it can be downloaded for offline viewing on a desktop.Can I get a certificate after completing the course?
Yes, upon successful completion of the course, learners will get the course e-Certification from the course provider. The Intro to Deep Learning project in TensorFlow 2.x and Python course certification is a proof that you completed and passed the course. You can download it, attach it to your resume, share it through social media.Are there any other coupons available for this course?
You can check out for more Udemy coupons @ www.coursecouponclub.com
Note: 100% OFF Udemy coupon codes are valid for maximum 3 days only. Look for "ENROLL NOW" button at the end of the post.
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Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.
