Deep Learning Training by Qtree Technologies Training Institute in Coimbatore
Deep Learning Training free videos and free material uploaded by Qtree Technologies staff .
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
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.
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