Best Deep Learning Training in Coimbatore | Qtree Technologies

Deep Learning Training in Coimbatore

Qtree Technologies, Deep Learning with TensorFlow Course in Coimbatore effectively turns you into a specialist by giving bits of knowledge into Deep Learning and TensorFlow ideas. TensorFlow is an open-source programming library that is identified with AI utilizes and the profound neural system.

Benefits of Deep Learning Training in CoimbatoreDeep Learning in TensorFlow with Python Training will help you to become a Deep Learning Engineer. It will hone your skills by offering you comprehensive knowledge on Deep Learning in TensorFlow. It will also acquaint you with the required hands-on experience for solving real-time industry-based Deep Learning projects. During this course you will be trained by our expert instructors on:

• Deep Learning and TensorFlow Concepts
• Working with Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN)
• Proficiency in Long short-term memory (LSTM)
• Implementing Keras, TFlearn, Autoencoders
• Implementing Restricted Boltz-mann Machine (RBM)
• Knowledge of Neural Networks & Natural Language Processing (NLP)
• Using Python with TensorFlow Libraries
• Perform Text Analytics
• Perform Text Processing

Our Course Details

• Syllabus
• Overview
• Program Details
• Reviews

Lesson 01 - Course Introduction

• Introductions to Deep Learning

Lesson 02 - AI and Deep learning introduction

• What is AI and Deep Learning
• Brief History of AI
• Recap: SL, UL and RL
• Deep Learning: Successes Last Decade
• Demo and Discussion: Self-Driving Car Object Detection
• Applications of Deep Learning
• Challenges of Deep Learning
• Demo and Discussion: Sentiment Analysis Using LSTM
• Full Cycle of a Deep Learning Project
• Key Takeaways
• Knowledge Check

Lesson 03 - Artificial Neural Network

• Biological Neuron Vs Perceptron
• Shallow Neural Network
• Training a Perceptron
• Demo Code #1: Perceptron (Linear Classification)
• Backpropagation
• Role of Activation Functions and Backpropagation Demo
• Code #2: Activation Function Demo Code #3: Backprop Illustration
• Optimization
• Regularization
• Dropout layer
• Demo Code #4: Dropout Illustration, Lesson-end Exercise (Classification Kaggle Dataset)
• Key Takeaways
• Knowledge Check
• Lesson-end Project

Lesson 04 - Deep Neural Network & Tools

• Deep Neural Network: Why and Applications
• Designing a Deep Neural Network
• How to Choose Your Loss Function?
• Tools for Deep Learning Models
• Keras and its Elements
• Demo Code #5: Build a Deep Learning Model Using Keras Tensorflow and Its Ecosystem
• Demo Code #6: Build a Deep Learning Model Using Tensorflow TFlearn
• Pytorch and its Elements
• Demo Code #7: Build a Deep Learning Model Using Pytorch
• Demo Code #8: Lesson-end Exercise
• Key Takeaways
• Knowledge Check
• Lesson-end Project

Lesson 05 - Deep Neural Net optimization, tuning, interpretability

• Optimization Algorithms
• SGD, Momentum, NAG, Adagrad, Adadelta, RMSprop, Adam Demo code #9: MNIST Dataset Batch Normalization
• Demo Code #10
• Exploding and Vanishing Gradients
• Hyperparameter Tuning
• Demo Code #11
• Interpretability
• Demo Code#12: MNIST– Lesson-end Project with Interpretability Lessons
• Width vs Depth
• Key Takeaways
• Knowledge Check
• Lesson-end Project

Lesson 06 - Convolutional Neural Net

• Success and History
• CNN Network Design and Architecture
• Demo Code #13: Keras
• Demo Code #14: Two Image Type Classification (Kaggle), Using Keras
• Deep Convolutional Models
• Key Takeaways
• Knowledge Check
• Lesson-end Project

Lesson 07 - Recurrent Neural Networks

• Sequence Data
• Sense of Time
• RNN Introduction
• Demo Code #15: Share Price Prediction with RNN
• LSTM (Retail Sales Dataset Kaggle)
• Demo Code #16: Word Embedding and LSTM
• Demo Code #17: Sentiment Analysis (Movie Review)
• GRUs
• LSTM vs GRUs
li>Demo Code #18: Movie Review (Kaggle), Lesson-end Project)
• Key Takeaways
• Knowledge Check
• Lesson-end Project

Lesson 08 - Autoencoders

• Introduction to Autoencoders
• Applications of Autoencoders
• Autoencoder for Anomaly Detection
• Demo Code #19: Autoencoder Model for MNIST Data
• Key Takeaways
• Knowledge Check
• Lesson-end Project

Placement of Deep Learning Course

• 100% Guaranteed Job Support in MNC and Mid-Small Size Companies
• Constant Classes on Each Topic
• our arrangement Team will send you for meetings till you land Position
• At Qtree Technologies, microsoft sky blue course is extremely affordable
• Mock Exams and Interviews to Boost your certainty.
• Pre-Requisite: Graduates/Fresher/Software Developer/Working Professionals/Anyone who has Interest
• Most recent and Update Course Contents according to IT Company models
• Enroll Now for this Deep Learning course in Coimbatore Deep Learning Algorithms, Data Abstraction Neural Networks and become Deep Learning Engineer Best Deep Learning training in Coimbatore based on current industry standards that help attendees to secure placements in their dream jobs at MNCs

  QtreePhone Number ;8489900331

  Visit our webside ;https://www.qtreetechnologies.in/course/deep-learning-training-in-coimbatore.php