Artificial Intelligence + Deep Learning (Live)

Artificial Intelligence + Deep Learning (Live)


Course Fee Including 18% GST

Please login to purchase the course.

Note: Please WhatsApp +91 9910043510 before making the payment

SKU: cid_88519 Categories: ,
Topics to be covered

1. Introduction to Machine Learning using scikit-learn days (1-8)

  • Overview of Machine Learning
  • Difference between AI, ML, and DL
  • Applications of ML and DL
  • Types of Machine Learning
  • Linear Regression
  • Logistic Regression
  • Overfitting and underfitting
  • K-Nearest Neighbor
  • Cross-validation and Hyper-parameter tuning
  • Confusion Matrix, Recall, Precision
  • K-Means Clustering

2. Introduction To Artificial Neural Network days (9-13)

  • What is Artificial Neural Network (ANN)?
  • How Neural Network Works?
  • Perceptron
  • Multilayer Perceptron
  • Feed Forward
  • Gradient Descent and Stochastic Gradient Descent
  • Back propagation

3. Introduction To Deep Learning days (14-15)

  • What is Deep Learning?
  • Deep Learning Packages
  • Deep Learning Applications
  • Building Deep Learning Environment
    • Installing TensorFlow Locally
    • Working with Google Colab

4. Indtroduction to TensorFlow days (16-18)

  • What is TensorFlow?
  • TensorFlow 1.x V/S TensorFlow 2.x
  • Placeholder, Variables, Constants
  • Operations using TensorFlow
  • Difference between TensorFlow and NumPy operations
  • Computational Graph
  • Visualizing Graph using Tensorboard

5. Activation Functions days (19-20)

  • What are Activation Functions?
  • Sigmoid Function,
  • Hyperbolic Tangent Function (tanh)
  • ReLU – Rectified Linear Unit
  • Softmax Function
  • Vanishing Gradient Problem

6. Building an Artificial Neural Network: A Case Study / An Example days (21-23)

  • Understanding MNIST Dataset
  • Initializing weights and biases
  • Defining loss/cost Function
  • Train the Neural Network
  • Minimizing the loss by adjusting weights and biases

7. Modern Deep Learning Optimizers and Regularization days (24-30)

  • SGD with Momentum
  • RMSprop
  • AdaGrad
  • Adam
  • Dropout Layers and Regularization
  • Batch Normalization

8. Building Deep Neural Network Using Keras days (31-33)

  • What is Keras?
  • Keras Fundamental For Deep Learning
  • Keras Sequential Model and Functional API
  • Solve a Linear Regression and Classification Problem with Example
  • Saving and Loading a Keras Model

9. Convolutional Neural Networks (CNNs) days (34-40)

  • Introduction to CNN
  • CNN Architecture
  • Convolutional Operations
  • Pooling, Stride, and Padding Operations
  • Data Augmentation
  • Building, Training and Evaluating First CNN Model
  • Model Performance Optimization
  • Autoencoders for CNN
  • Transfer Learning

10. Recurrent Neural Networks (RNNs) days (41-46)

  • Introduction to RNN
  • RNN Architecture
  • Types of RNN
  • Implementing basic RNN in TensorFlow
  • Need for LSTM and GRU
  • Deep RNN
  • Text Classification Using LSTM

11. Projects days (47-50)

  • Sentiment analysis using RNN
  • MNIST Handwritten digits classification using CNN
  • Cat vs Dog Image classification
  • Objects Detection from Yolov3

Sample Project:

(Hand Detection)

(Cat Dog Classification)

(MNIST Digit Prediction)

(Autocomplete search query in Tensorflow)

(ChatBot Using Tensorflow)

(Neural Machine Translation NMT Using Tensorflow)

(Text Extraction from Image)

Target Audience

  • B.Tech/MCA/BCA/M.Tech Students
  • Working Professionals from Corporate

Test & Evaluation

1. During the program, the participants will have to take all the assignments given to them for better learning.
2. At the end of the program, a final assessment will be conducted.

Tentative Date & Schedule

New batch starting from 29th June 2020 for the live online tutorial session and doubt clearing sessions

No experience is required, But fundamental knowledge of C/C++ would be helpful.

  1. Upto six weeks (or till submission of the final quiz) access to the course
  2. To get access to the certificate - you need to take the online exam at the end of the course
  • Time-saving & Cost-effective
  • Get trained via industry experts (having 10+ years of experience in the same field, corporate trainers)
  • Full of hands-on practical exposure for better understanding
  • Adding super solid value in your professional career
  • Weekend Doubt clearing sessions.

For inquiry call:  9910043510

Online Live Training Program 2020