Amit Yadav, Kursleiter | Coursera

Amit Yadav

Machine Learning Instructor

Coursera Project Network

Bio

Amit is a Machine Learning Engineer with focus in creating deep learning based computer vision and signal processing products. He has led chat bot development at a large corporation in the past. Amit is one of the Machine Learning and Data Science instructors at Rhyme.

Kurse

Image Classification with CNNs using Keras

Save, Load and Export Models with Keras

Object Detection with Amazon Sagemaker

Image Data Augmentation with Keras

Classification with Transfer Learning in Keras

Starting GUI Programming with JavaFX

Deploy Models with TensorFlow Serving and Flask

Create Your First Chatbot with Rasa and Python

Create Your First Web App with Python and Flask

Linear Regression with Python

Visualizing Citibike Trips with Tableau

Siamese Network with Triplet Loss in Keras

Create Your First Python Program

Regression with Automatic Differentiation in TensorFlow

Tweet Emotion Recognition with TensorFlow

Using TensorFlow with Amazon Sagemaker

Avoid Overfitting Using Regularization in TensorFlow

Logistic Regression with Python and Numpy

Hyperparameter Tuning with Neural Network Intelligence

Getting Started with Power BI Desktop

Hyperparameter Tuning with Keras Tuner

Neural Network from Scratch in TensorFlow

Predicting House Prices with Regression using TensorFlow

Detecting COVID-19 with Chest X-Ray using PyTorch

Semantic Segmentation with Amazon Sagemaker

Understanding Deepfakes with Keras

Image Noise Reduction with Auto-encoders using TensorFlow

Creating Custom Callbacks in Keras

Custom Prediction Routine on Google AI Platform

Simple Recurrent Neural Network with Keras

Basic Image Classification with TensorFlow

Neural Style Transfer with TensorFlow

Image Classification with Amazon Sagemaker

Neural Network Visualizer Web App with Python

Create Custom Layers in Keras

Basic Sentiment Analysis with TensorFlow

Create Your First Game with Python

Andere wissenswerte Themen

Kunst und Geisteswissenschaften

Kunst und Geisteswissenschaften

Wirtschaft

Informatik

Datenverarbeitung

Datenverarbeitung

Informationstechnologie

Informationstechnologie

Gesundheit

Mathematik und Logik

Mathematik und Logik

Persönliche Entwicklung

Persönliche Entwicklung

Physik und Ingenieurwesen

Physik und Ingenieurwesen

Sozialwissenschaften

Sozialwissenschaften

Sprachen lernen

Sprachen lernen