MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 38 lectures (5h 16m) | Size: 2.1 GB
From Zero To Hero
What you'll learn:
Python
Pytorch
BERT
Deep Learning
Image Processing
Natural Language Processing
Neural Network
Gradient Descent
transformers
huggingface
Requirements
python basic syntax
basic programming skill
Description
Pytorch Deep Learning Course(Colab Hands-On)
Welcome to Pytorch Deep Learning From Zero To Hero Series.
In this course, you will be able to master implementing deep neural network including BERT transfer learning by using pytorch yourself by colab. Each Section will have one assignment for you to think and code yourself. The Agenda is below.
Agenda:
Introduction
Google Colaboratory
Neuron
Perceptron
Make Your Perceptron Trainable
Normalize Data
Activation Function
Loss Function
Gradient Descent
Elegant Pytorch Gradient Descent
Final Project
Final Project Explained
Multi Layer Perceptron(MLP)
One Hot Encoding
Prepare data for MLP
Define MLP
Train & Evaluate MLP
Final Project for MLP
FCNN Explained
FCNN LOVE Letters Classification using MLP
Final Project For FCNN
CNN Explained
CNN Prepare data(Fashion MNIST)
CNN Define Model
CNN Train&Evaluate Model
CNNInference
Final Project For CNN
RNN Explained
RNN Prepare data
RNN Define Model
RNN Train Model
RNN Inference
BERT Sesame Street
BERT Prepare Data IMDB
BERT Model definition
BERT Model Training
BERT Model Evaluation
BERT Model Prediction
BERT Final Project
Who this course is for
Beginner python developers who are curious about deep learning
Beginner python developers who are curious about pytorch
Beginner python developers who are curious about Natural Language Processing
Beginner python developers who are curious about huggingface
Python developers who are curious about implementing BERT transfer learning model
Homepage
https://www.udemy.com/course/pytorch-deep-learning-hero/
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