Machine Learning and Deep Learning Using TensorFlow
On top of the Best Online Tensorflow Courses, this course is for you if you are interested in learning more about TensorFlow, Machine Learning, Neural Networks, Deep Learning, Deep Neural Networks (DNN), and Convolution Neural Networks (CNN) with a thorough knowledge. Details are provided for each topic. Concepts are built gradually and methodically. Instead of racing through a slide, the teacher took more than ten minutes to discuss it. This should make it easier for you to grasp and stay on top of the information being delivered.
The goal of the practical examples is to familiarize you with some TensorFlow 2 features or other knowledge that may come in handy if you ever need to manage a large-scale, intricate neural network task on your own. Downloadable samples are offered for your use. If you want to better grasp the course, view the first two videos.
There is no one profession that should focus on machine learning. A very potent technique that may help you tackle some problems that you might not otherwise know how to address is machine learning, which works in conjunction with neural networks. Try this course out and see if it helps you understand some of the issues you are working on better.
Requirements:
- Some knowledge in algebra and calculus
- Gmail account to use Google Colab and Google Drive
- Basic programming knowledge using Python 3
- All codes are provided for you to download
- No software needed to install on your computer
Who this course is for:
- Beginner
- People from a diverse range of professions may find this knowledge useful in their own profession
Course Rating: 4.9/5
Enroll here: https://www.udemy.com/course/machine-learning-and-deep-learning-using-tensorflow/
