Certificate in Deep Learning with Python by Vskills
Course Highlights
- Government certification
- Certification valid for life
- Lifelong e-learning access
- Learning Hours: 12 hrs
- Life Time Job Support
- Job Profile Tagging
Skills you will learn!
Curriculum
4 Topics
The Course Overview
A Brief History of Deep Learning
Deep Learning Today
Tools Requirements and Setup
4 Topics
Exploring Supervised Learning
Representational Learning and Feature Engineering
Linear Regression
The Perceptron
4 Topics
Feedforward Networks
Backpropagation
Neural Networks from Scratch
Overfitting and Regularization
3 Topics
Understanding CNNs
Implementing a CNN
Deep CNNs
3 Topics
Very Deep CNNs
Batch Normalization
Fine-Tuning
2 Topics
Semantic Segmentation
Fully Convolutional Networks
2 Topics
Recurrent Neural Networks
LSTM and Advancements
2 Topics
Building a CNN to Detect General Images
Training and Deploying on a Cluster
2 Topics
Comparison of DL Frameworks
Exciting Areas for Upcoming Research
6 Topics
The Course Overview
Fundamentals of Neural Networks
Training Deep Neural Networks
Using Forward Propagation Backprop and SGD
Logistic Regression with a Neural Network Mindset
Convolutional Neural Network Handwriting Recognition
6 Topics
Working with MxNet and Gluon
Defining and Training Neural Networks in MxNet/Gluon
Working with TensorFlow and Keras
Defining and Training Neural Networks in Keras/TensorFlow
Comparing the Two Frameworks
Mini Project - CIFAR Classification
4 Topics
Weight Initialization for Deep Networks
Regularization and Dropout
Normalizing and Vanishing/Exploding Gradients
Mini Project – SIGNS Dataset
3 Topics
Understanding Stochastic Gradient Descent
Adaptive Learning Algorithms - RMSProp and Adam
Mini Project - Language Modeling
4 Topics
Hyperparameters
Tuning Hyperparameters - Grid Search
Tuning Hyperparameters - Random Search
Mini Project -Music Synthesis
Certificate in Deep Learning with Python
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