DEEP LEARNING

COURSE DESCRIPTION

Deep Learning is mainly a part of machine learning which deals with algorithms that imitates the human brain structure and function which is mainly used for decision making that is based on artificial neural networks.

In this training we will cover all algorithms with  Tensorflow, Keras, Keras Tuner, Flask, Pytorch, Torch, Weka, Neural Designer.

COURSE OVERVIEW

• Introduction to Deep Learning
• Introduction to Neural Network
• Multilayer Neural Network
• Gradient Descent and Back Propagation
• Activation Function
• Weight initialization Techniques
• Stochastic Gradient Descent
• Global Minima and Local Minima
• Keras
• Pytorch
• Flask
• Optimizers
• Keras Tuner
• Hyper Parameter Tuning
• CNN
• Data Augmentation (with Keras)
• RNN
• Back propagation in RNN
• Neural Designer
• LSTM
• LSTM RNN
• NLP with Deep Learning
• ANN training on Google Colab GUP
• Weka
• End to End project – 5

LEARNING OUTCOMES

• Over 60 lectures and 120 hours of content!
• LIVE PROJECT End to End Software Testing Training Included.
• Learn Software Testing and Automation basics from a professional trainer from your own desk.
• Information packed practical training starting from basics to advanced testing techniques.
• Best suitable for beginners to advanced level users and who learn faster when demonstrated.
• Course content designed by considering current software testing technology and the job market.
• Practical assignments at the end of every session.
• Practical learning experience with live project work and examples.