The Magic of Deep Learning with TensorFlow 2 | Programming Buddy Club | Free Udemy Courses

COURSE 1 OF 5 FROM DEEP TENSOR SPECIALIZATION - FREE COURSE

Discount - Free 

• Lectures - 20 lectures
• Skill Level -Beginner Level
• Language -  English
• Published -  Last updated 12/2019
• Coupon -PROGRAMMINGBUDDYCLUB
• Rating - 0.0 (0 ratings)
• Students Enrolled - 3,833 students enrolled

Scroll down and Click "Take this course!" button below to use the coupon

Course Includes

• ☑️ 2.5 hours on-demand video

• ☑️ Full lifetime access

• ☑️ Access on mobile and TV

• ☑️ Certificate of Completion

Scroll down and Click "Take this course!" button below to use the coupon

What Will I learn?

• ☑️ Artificial Neural Networks (ANNs) / Deep Neural Networks (DNNs)

• ☑️ Machine Learning Algorithms

• ☑️ Learn to use TensorFlow 2.0 for Deep Learning

• ☑️ TensorFlow 1.x VS TensorFlow 2

• ☑️ Image Recognition

• ☑️ Computer Vision

• ☑️ Convolutional Neural Network

• ☑️ Optimize ANNs hyper parameters such as number of hidden layers and neurons to enhance network performance

• ☑️ Learn how to train network weights and biases and select the proper transfer functions.

• ☑️ Learn how to Create your own data-set

• ☑️ Retrain a pretrained model

• ☑️ YOLO object detector

• ☑️ Apply Convolutional Neural Networks to classify images.

• ☑️ build Deep Learning Algorithms from Scratch in Python Using NumPy and TensorFlow

Requirements

• ☑️ basics in math

• ☑️ basics in deep learning

• ☑️ Some basic Python programming skills

• ☑️ You’ll need to install Anaconda. We will show you how to do it in one of the first lectures of the course.

• ☑️ All software and data used in the course are free.

Who is the target audience?

• ☑️ Beginners to advanced students who want to learn about deep learning and Machine learning in Tensorflow 2.0

Take this course!

Note: If the coupon doesn''t work for you, please let us know and check our website for other courses! We are affiliated to Udemy.

from Programming Buddy Club - Premium Udemy Courses for Free‎ https://ift.tt/2QWbmqm