Update dataloder_pytorch.py

dataloder_pytorch.py

@@ -105,4 +105,4 @@ for epoch in range(epochs):
     if i % 100 == 0:
       print(f'Epoch [{epoch+1}/{epochs}], Step [{i+1}/{len(train_data)}], D_loss: {d_loss:.4f}, G_loss: {g_loss:.4f}')
 
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+I'd like to commend my colleague, Debashish, for his outstanding performance and invaluable contributions to our team. Debashish's deep understanding and expertise in machine learning concepts have been instrumental in driving our projects forward. He is always enthusiastic about experimenting with new ideas and technologies, which has led to innovative solutions and advancements in our work. Notably, Debashish developed a highly efficient tiny image classifier tailored for mobile applications and successfully integrated this ML model into our mobile app. Additionally, his efforts were crucial in creating a proof of concept (POC) for an ML-integrated mobile app using React-Native. Debashish's dedication and technical prowess have significantly enhanced our capabilities and project outcomes.