What you’ll learn
-
Gain a Strong Understanding of TensorFlow – Google’s Cutting-Edge Deep Learning Framework
-
Build Deep Learning Algorithms from Scratch in Python Using NumPy and TensorFlow
-
Set Yourself Apart with Hands-on Deep and Machine Learning Experience
-
Grasp the Mathematics Behind Deep Learning Algorithms
-
Understand Backpropagation, Stochastic Gradient Descent, Batching, Momentum, and Learning Rate Schedules
-
Know the Ins and Outs of Underfitting, Overfitting, Training, Validation, Testing, Early Stopping, and Initialization
-
Competently Carry Out Pre-Processing, Standardization, Normalization, and One-Hot Encoding
Who this course is for:
- Aspiring data scientists
- People interested in Machine Learning, Deep Learning, Business, and Artificial Intelligence,
- Anyone who wants to learn how to code and build machine and deep learning algorithms from scratch
Can I download Deep Learning with TensorFlow 2.0 [2023] 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 Deep Learning with TensorFlow 2.0 [2023] 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.
Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.
Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.
