Deep Learning with Keras and TensorFlow
In this Deep Learning course with Keras and Tensorflow certification training, you will become familiar with the language and fundamental concepts of artificial neural networks, PyTorch, autoencoders, and more. Upon completion, you will be able to build deep learning models, interpret results, and build your own deep learning project.
This self-paced E learning course is done in partnership with SimpliLearn.It consists of a few videos that will take approximately 2 hours in total to finish the course.
Upon successful completion of the Deep Learning course with Tensorflow training, you will be awarded a completion certificate from SimpliLearn and Aventis that will be able to enhance your portfolio.
Demand for skilled Deep Learning Engineers is booming across a wide range of industries, making this Deep Learning course with Keras and Tensorflow certification training well-suited for professionals at the intermediate to advanced level. We recommend this course particularly for Software Engineers, Data Scientists, Data Analysts, and Statisticians with an interest in deep learning.
Participants in this Deep Learning online course should have familiarity with programming fundamentals, a fair understanding of the basics of statistics and mathematics, and a good understanding of machine learning concepts.
Section 1 – Deep Learning with Tensor Flow (Self Learning)
Lesson 1 – Welcome
Lesson 2 – Introduction to Tensorflow
Lesson 3 – Convolutional Networks
Lesson 4 – Recurrent Neural Network
Lesson 5 – Restricted Boltzmann Machines (RBM)
Lesson 6 – Autoencoder
Lesson 7 – Course Summary
Section 2 – Deep Learning with Keras and Tensor Flow (Live Classes)
Section 3 – Practice Projects
- Math Refresher
- Deep Learning Fundamentals