Deep Learning Course Overview

Deep Learning with Tensorflow on Python Platform let you master in artificial neural networks -Google. Classroom-based Industrial training program prepares you for Deep Learning. Machine learning can only be handled after an understanding the concept of Deep Learning followed by building a Neural Network, Once you have cleared the Foundation of this Course- you can easily master the project based on such Technology

A deep Learning Course teaches you Google Tensorflow, Tensorboard, Keras, Artificial Neural Networks, Softmax, Convolutional Neural Networks, Recurrent Neural Networks, CNN, LSTM,  Image Processing, and many more in the process of learning in artificial intelligence course in Pune. After this course, you will be able to apply this method to the current Industry as our teaching method involve Google Tensorflow learning and with python platform which makes you Industry concept friendly to apply within projects.

Deep Learning Training (with Tensorflow and Python)Benefits

Upon Completion of the Course, you will be ready for accomplishing the following:-

• Understand Keras

• Image Processing

• Artificial Neural Networks

• Hands-on Google Tensorflow

• Understand the Deep Learning Process

• Understand Convolutional Neural Networks

• Can Handle Machine Learning Based Projects.

Course Objectives:

• Students will learn the fundamentals of deep learning and the main research activities in this field.
• The student will have access to the current technologies used to implement deep learning algorithms.
• Students will learn to implement, train, and validate their own neural network, and they will improve their understanding of the on-going research in computer vision and multimedia field.

This Course is Designed to Benefit the Following Professionals:

• Graduate
• Under Graduate
• Aspirant who wish to make career in AI

Deep Learning Syllabus Pdf 2019

• Introduction to Deep Learning
• Google Tensorflow
• Keras
• Perceptron
• Artificial Neural Networks
• Activation Function
• Gradient Descent and Optimization
• Optimization and Regularization
• Convolutional Neural Neytworks
• Recurrent Neural Neytworks
• LSTM
• RNN
• Image Processing