deep learning
#CellStratAILab #disrupt4.0 #WeCreateAISuperstars Last Saturday, we had amazing presentations by some of our AI Lab members. First Shreyas S K presented an extensive and superb presentation on Anti-Money Laundering with help of Machine Learning. Money Laundering refers to taking advantages of banking system and perpetrating fraudulent transactions for unauthorized gains. Machine Learning algorithms like Logistic […]
#CellStratAILab #disrupt4.0 #WeCreateAISuperstars CellStrat AI Lab continues to engage both young and old professionals with increasingly advanced sessions being presented by the lab members. Last Saturday in Noida, Bhavesh Laddagiri, our youngest AILab member, a Computer Vision Researcher and First Yr. Student of SRM Engineering College presented an indepth presentation on Transfer Learning for Image […]
k-means is one of the simplest unsupervised learning algorithms that solve the well known clustering problem. It is a non-deterministic and iterative method. Its algorithm works over a specified data set using a predefined set of clusters, k. The result of a k-means algorithm is the k clusters of input data partitioned from the clusters. […]
#CellStratAILab #disrupt4.0 #WeCreateAISuperstars CellStrat AI Lab is engaged in incredible AI innovations and product development activity. The sophistication of our AI Lab members’ presentations continues to rise week after week. Last Saturday AI Lab started with an interesting session on Image Descriptors, Feature Descriptors & Feature Vectors by Sonal Kukreja. In computer vision, image descriptors are descriptions of the visual […]
#CellStratAILab #disrupt4.0 #WeCreateAISupertars Last Saturday, CellStrat AI Lab Team Lead Niraj Kale presented an intuitive hands-on workshop on Face Recognition with MTCNN and FaceNet algorithms. The session included a theory presentation along with an extensive hands-on code workshop. This model has two networks at play. First, the MTCNN localizes the face by creating a bounding […]
Artificial intelligence is growing exponentially. With an estimated market size of 7.35B US dollars. McKinsey predicts that AI techniques (including deep learning and reinforcement learning) have the potential to create between $3.5T and $5.8T in value annually. Reinforcement learning (RL) is an area of machine learning concerned with how software agents ought to take actions […]
A new transfer learning technique called BERT (short for Bidirectional Encoder Representations for Transformers) is making big waves in the NLP space. BERT excels at handling “context-heavy” language problems. For example… Bats are found in the dark places. versus Cricket Bats are going high-tech these days. Earlier, context-free models (like word2vec or GloVe) generated a […]
#CellStratAILab #disrupt4.0 #WeCreateAISuperstars Last Saturday we had another fantastic set of AI presentations at our AI Lab meetup. Face Recognition System with MTCNN :- First, Jani Basha presented a fabulous model on face recognition system, which involved detecting and recognizing faces from images and videos. One can also use this model to identify humans from […]