Complete Guide to TensorFlow for Deep Learning with Python

This is also one of the Best Online Tensorflow Courses. TensorFlow was initially developed by scientists and engineers on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural network research, but the system is sufficiently general to be applicable in a wide range of other domains as well. This course will show you how to build deep learning artificial neural networks using Google's TensorFlow framework.

This course attempts to provide you with an accessible introduction to the complexity of Google's TensorFlow framework. Other tutorials and courses frequently avoid using plain TensorFlow in favor of abstractions that give the user less control. The course finally acts as a comprehensive manual for utilizing the TensorFlow framework as intended while demonstrating the newest deep learning methods! This course's entire jupyter notebook code instructions, easily accessible slides, and notes are all meant to strike a balance between theory and practical application. Let's master TensorFlow right now!

Requirements:

• Some knowledge of programming (preferably Python)
• Some basic knowledge of math (mean, standard deviation, etc..)

Who this course is for:

• Python students eager to learn the latest Deep Learning Techniques with TensorFlow

Course Rating: 4.4/5
Enroll here: https://www.udemy.com/course/complete-guide-to-tensorflow-for-deep-learning-with-python/